Difference between revisions of "Laboratory information management system"

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[[File:Icos Laboratories.JPG|thumb|right|Laboratories around the world depend on a LIMS to manage data, assign rights, manage [[Inventory|inventory]], and more.]]
[[File:Icos Laboratories.JPG|thumb|400px|right|Laboratories around the world depend on a LIMS to manage data, assign rights, manage inventory, and more.]]
Sometimes referred to as a [[laboratory information system]] (LIS) or laboratory management system (LMS)<ref>{{cite web_short|title=2011 LIMS Buyers Guide: Introduction|url=http://files.limstitute.com/share/lbgonline/introduction.htm|publisher=Laboratory Informatics Institute, Inc|accessdate=25 April 2011}}</ref>, a '''laboratory information management system''' (LIMS) is a software-based [[laboratory]] and information management system that offers a set of key features that support a modern laboratory's operations. Those key features include — but are not limited to — [[Workflow|workflow]] and data tracking support, flexible architecture, and smart data exchange interfaces, which fully "support its use in regulated environments."<ref>{{cite web_short|title=2011 Laboratory Information Management: So what is a LIMS?|url=http://sapiosciences.blogspot.com/2010/07/so-what-is-lims.html|publisher=Sapio Sciences|accessdate=25 April 2011}}</ref> The features and uses of a LIMS have evolved over the years from simple [[sample]] tracking to an [[Enterprise resource planning|enterprise resource planning]] tool that manages multiple aspects of  [[Laboratory informatics|laboratory informatics]].<ref name="Vaughan">{{cite web|author=Vaughan, Alan|title=LIMS: The Laboratory ERP|url=http://www.limsfinder.com/BlogDetail.aspx?id=30648_0_29_0_C|publisher=LIMSfinder.com|accessdate=25 April 2011}}</ref>
Sometimes referred to as a [[laboratory information system]] (LIS) or laboratory management system (LMS), a '''laboratory information management system''' (LIMS) is a software-based [[laboratory]] and [[information management]] system that offers a set of key features that support a modern laboratory's operations. Those key features include—but are not limited to—[[Workflow|workflow]] and data tracking support, flexible architecture, and smart data exchange interfaces, which fully "support its use in regulated environments."<ref name="SapioWhatIs10">{{cite web |url=http://sapiosciences.blogspot.com/2010/07/so-what-is-lims.html |archiveurl=https://web.archive.org/web/20160304102056/http://sapiosciences.blogspot.com/2010/07/so-what-is-lims.html |title=So what is a LIMS? |work=Laboratory Information Management |publisher=Sapio Sciences |date=28 July 2010 |archivedate=04 March 2016 |accessdate=12 March 2024}}</ref> The features and uses of a LIMS have evolved over the years from simple [[sample]] tracking to an integrated application that handles laboratory management, [[Quality (business)|quality]] management, and enterprise resource planning processes, from testing and [[quality control]] to reporting and invoicing.


Due to the rapid pace at which laboratories and their data management needs shift, the definition of LIMS has become somewhat controversial. As the needs of the modern laboratory vary widely from lab to lab, what is needed from a laboratory information management system also shifts. The end result is the definition of a LIMS will shift based on who you ask and what their vision of the modern lab is.<ref>{{cite web|title=2011 Laboratory Information Management: So what is a LIMS?|url=http://sapiosciences.blogspot.com/2010/07/so-what-is-lims.html|publisher=Sapio Sciences|accessdate=25 April 2011}}</ref> Dr. Alan McLelland of the Institute of Biochemistry, Royal Infirmary, Glasgow highlighted this problem in the late 1990s by explaining how a LIMS is perceived by an analyst, a laboratory manager, an information systems manager, and an accountant, "all of them correct, but each of them limited by the users' own perceptions."<ref>McLelland, Alan (1998). [http://www.rsc.org/pdf/andiv/tech.pdf "What is a LIMS - a laboratory toy, or a critical IT component?"], pp. 1.</ref>
Due to the rapid pace at which laboratories and their data management needs shift, the definition of LIMS has become somewhat controversial. As the needs of the modern laboratory vary widely from lab to lab, what is needed from a LIMS also shifts. The end result: the definition of a LIMS will shift based on who you ask and what their vision of the modern lab is.<ref name="SapioWhatIs10" /> Dr. Alan McLelland of the Institute of Biochemistry, Royal Infirmary, Glasgow highlighted this problem in the late 1990s by explaining how a LIMS is perceived by an analyst, a laboratory manager, an information systems manager, and an accountant, "all of them correct, but each of them limited by the users' own perceptions."<ref name="McLelland98">{{cite web |url=http://www.rsc.org/pdf/andiv/tech.pdf |archiveurl=https://web.archive.org/web/20131004232754/http://www.rsc.org/pdf/andiv/tech.pdf |format=PDF |title=What is a LIMS - a laboratory toy, or a critical IT component? |author=McLelland, A. |publisher=Royal Society of Chemistry |page=1 |date=1998 |archivedate=04 October 2013 |accessdate=12 March 2024}}</ref>


Historically the LIMS, LIS, and [[Process development execution system|process development execution system]] (PDES) have all performed similar functions. A LIMS has generally targeted environmental, research, or commercial analysis, such as pharmaceutical or petrochemical work, whereas the term "LIS" has tended to be used to reference lab informatics systems in the forensics and clinical markets, which often required special case management tools. The distinction between a LIS and LIMS has blurred in recent times, however, as most LIMS now fully support comprehensive case-centric data.<ref>{{cite web_short|title=2011 LIMS Buyers Guide: How Do I Find the Right LIMS?|url=http://files.limstitute.com/share/lbgonline/how_do_i_find_the_right_lims.htm|publisher=Laboratory Informatics Institute, Inc.||page=3|accessdate=25 April 2011}}</ref> The PDES normally addresses a wider scope, including, for example, [[Virtual manufacturing|virtual manufacturing]] techniques, while not necessarily integrating with [[laboratory equipment]].
Historically the term "LIMS" has tended to be used to reference [[laboratory informatics]] systems targeted for environmental, research, or industrial analysis such as water quality, pharmaceutical, or petrochemical work. "LIS" has tended to be used to reference informatics systems in the [[Forensic science|forensics]] and clinical markets, which often requires special case and patient management tools. In modern times, LIMS functionality has spread even farther beyond its original purpose of sample management. [[Assay]] data management, data mining, statistical analysis, [[electronic laboratory notebook]] (ELN) integration, and industry-specific functionality that supports regulatory requirements in that industry (e.g., [[hazard analysis and critical control points]] [HACCP] workflow tools in food and beverage manufacturing) are all types of functionality added to LIMS, enabling the realization of greater laboratory and enterprise management through one software solution. Additionally, the distinction between a LIMS and a LIS has blurred, as many LIMS now also fully support comprehensive case-centric clinical specimen and patient data management.


More recently, LIMS products have been expanding even farther beyond their original purpose of sample management. [[Assay]] data management, [[data mining]], data analysis, and [[Electronic laboratory notebook|electronic laboratory notebook]] (ELN) integration are all features that have been added to many LIMS<ref>{{cite web_short|title=2011 LIMS Buyers Guide: How Do I Find the Right LIMS?|url=http://files.limstitute.com/share/lbgonline/how_do_i_find_the_right_lims.htm|publisher=Laboratory Informatics Institute, Inc.||page=1–4|accessdate=25 April 2011}}</ref>, enabling the realization of translational medicine completely within a single software solution.
==History==
Up until the late 1970s, management of laboratory samples and their associated analysis and reporting was a time-consuming manual processes often riddled with transcription errors. This gave some organizations impetus to streamline the collection of data and how it was reported. Custom in-house solutions were developed by a few individual laboratories, while some enterprising entities at the same time sought to develop a more commercial reporting solution in the form of special instrument-based systems.<ref name="LIMSHistory">{{cite journal |title=A brief history of LIMS |journal=Laboratory Automation and Information Management |author=Gibbon, G.A. |volume=32 |issue=1 |pages=1–5 |year=1996 |doi=10.1016/1381-141X(95)00024-K}}</ref>  


==History of LIMS==
In 1982, the first generation of LIMS was introduced in the form of a single centralized minicomputer, which offered laboratories the first opportunity to utilize automated reporting tools. As the interest in these early LIMS grew, industry leaders like Gerst Gibbon of the Federal Energy Technology Centre in Pittsburgh began planting the seeds through LIMS-related conferences. By 1988, the second-generation commercial offerings were tapping into [[Database|relational databases]] to expand LIMS into more application-specific territory, and international LIMS conferences were in full swing. As personal computers became more powerful and prominent, a third generation of LIMS emerged in the early 1990s. These new LIMS took advantage of the developing client/server architecture, allowing laboratories to implement better data processing and exchanges.<ref name="LIMSHistory" />


Up until the late 1970s, the management of laboratory samples and the associated analysis and reporting were time-consuming manual processes often riddled with transcription errors. This gave some organizations impetus to streamline the collection of data and how it was reported. Custom in-house solutions were developed by a few individual laboratories, while some enterprising entities at the same time sought to develop a more commercial reporting solution in the form of special instrument-based systems.<ref name="LIMSHistory">{{cite journal|journal=Laboratory Automation and Information Management|year=1996|volume=32|issue=1|pages=1–5|title=A brief history of LIMS|author=Gibbon, G.A.|doi:10.1016/1381-141X(95)00024-K|url=http://www.sciencedirect.com/science/article/pii/1381141X9500024K|format=PDF|accessdate=26 April 2011}}</ref>
By 1995, the client/server tools had developed to the point of allowing processing of data anywhere on the network. Web-enabled LIMS were introduced the following year, enabling researchers to extend operations outside the confines of the laboratory. From 1996 to 2002, additional functionality was included in LIMS, from wireless networking capabilities and georeferencing of samples, to the adoption of [[XML]] standards and the development of internet-based purchasing.<ref name="LIMSHistory" />


In 1982 the first generation of LIMS was introduced in the form of a single centralized minicomputer, which offered laboratories the first opportunity to utilize automated reporting tools. As the interest in these early LIMS grew, industry leaders like Gerst Gibbon of the Federal Energy Technology Centre in Pittsburgh began planting the seeds of LIMS-related conferences. By 1988 the second-generation commercial offerings were tapping into [[Relational database|relational databases]] to expand LIMS into more application-specific territory, and International LIMS Conferences were in full swing. As personal computers became more powerful and prominent, a third generation of LIMS emerged in the early 1990s. These new LIMS took advantage of the developing client/server architecture, allowing laboratories to implement better data processing and exchanges.<ref name="LIMSHistory" />
By the early 2010s, some LIMS had added additional characteristics that continued to shape how a LIMS was defined. Examples include the addition of clinical functionality and [[electronic laboratory notebook]] (ELN) functionality, as well a rise in the cloud-based [[software as a service]] (SaaS) distribution model.<ref name="LinkedInSaaSModel">{{cite web |url=https://www.linkedin.com/feed/update/urn:li:groupPost:2069898-181604484/ |title=Is any one aware of a SaaS LIMS success story? |author=Nagisetty, P. |publisher=LinkedIn |date=02 November 2012 |accessdate=12 March 2024}}</ref><ref name="MullinLIMS10">{{cite journal |title=LIMS in the Cloud |journal=Chemical & Engineering News |author=Mullin, R. |volume=88 |issue=21 |pages=12–16 |date=24 May 2010 |url=http://cen.acs.org/articles/88/i21/LIMS-Cloud.html |accessdate=12 March 2024}}</ref> By the late 2010s, cloud-based LIMS were more numerous in quantity and adoption but not the ''de facto'' standard, as the costs and daunting nature associated with vendors transitioning legacy products to the cloud and with companies trying to integrate a cloud-based LIMS into a complicated IT and regulatory environment had partially stymied growth.<ref name="KnippenbergMoving17">{{cite web |url=https://astrixinc.com/moving-lab-infrastructure-cloud-consider-nearshoring/ |archiveurl=https://web.archive.org/web/20230131012812/https://astrixinc.com/moving-lab-infrastructure-cloud-consider-nearshoring/ |title=Moving your Lab IT Infrastructure to the Cloud? Consider Nearshoring |author=Knippenberg, R. |work=Astrix Blog |publisher=Astrix Technology Group |date=09 May 2017 |archivedate=31 January 2023 |accessdate=12 March 2024}}</ref><ref name="JoyceWhatYou17">{{cite web |url=https://www.labmanager.com/what-you-and-your-it-team-should-know-about-the-cloud-3048 |title=What You and Your IT Team Should Know About the Cloud |work=Lab Manager |author=Joyce, J. |publisher=LabX Media Group |date=01 May 2017 |accessdate=12 March 2024}}</ref> Today, despite these challenges, cloud-based approaches to the management of laboratory data continue to see adoption or intent to adopt<ref name="AstrixProgress22">{{cite web |url=https://astrixinc.com/wp-content/uploads/2022/06/Progress-Snapshot-on-Enabling-the-Digital-Lab-of-the-Future-v4a.pdf |format=PDF |title=2022 Laboratory Informatics: Progress Snapshot on Enabling the Digital Lab of the Future |publisher=Astrix Technology, LLC |pages=18–23 |date=June 2022 |accessdate=12 March 2024}}</ref><ref name="Lanewala2024LIMS24">{{cite web |url=https://clarkstonconsulting.com/insights/2024-lims-trends/ |title=2024 LIMS Trends |author=Lanewala, M.; Yauger, T.; Jones, L.L. |work=Clarkston Consulting Insights |publisher=Clarkston Consulting |date=04 March 2024 |accessdate=12 March 2024}}</ref>, including in the more heavily regulated GxP (good practice) laboratories, which have their own unique challenges with [[data integrity]] and [[Information security|security]] requirements.<ref>{{Cite journal |last=Davis |first=Scott |last2=Usansky |first2=Joel |last3=Mitra-Kaushik |first3=Shibani |last4=Kellie |first4=John |last5=Honrine |first5=Kimberly |last6=Woolf |first6=Eric |last7=Adams |first7=Jeb |last8=Kelly |first8=Ryan |last9=Evens |first9=John |last10=Pine |first10=Samuel |last11=Hochreiner |first11=Hannes |date=2021-09 |title=Cloud solutions for GxP laboratories: considerations for data storage |url=https://www.future-science.com/doi/10.4155/bio-2021-0137 |journal=Bioanalysis |language=en |volume=13 |issue=17 |pages=1313–1321 |doi=10.4155/bio-2021-0137 |issn=1757-6180}}</ref>


By 1995 the client/server tools had developed to the point of allowing processing of data anywhere on the network. Web-enabled LIMS were introduced the following year, enabling researchers to extend operations outside the confines of the laboratory. From 1996 to 2002 additional functionality was included in LIMS, from wireless networking capabilities and [[Georeference|georeferencing]] of samples, to the adoption of [[XML]] standards and the development of Internet purchasing.<ref name="LIMSHistory" />
==Purpose and technology==
A LIMS is a software solution designed to allow end users to better manage a wide variety of operational and quality management aspects of academic, government, and industrial laboratories serving a broad range of industries and stakeholders. The software can be monolithic or microservices-based, with each architecture type having its own pros and cons, especially dependent upon the number of concurrent users, desired functional scale, and deployment method (e.g., on-premises vs. [[Cloud computing|in the cloud]]).<ref>{{Cite journal |last=Blinowski |first=Grzegorz |last2=Ojdowska |first2=Anna |last3=Przybylek |first3=Adam |date=2022 |title=Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation |url=https://ieeexplore.ieee.org/document/9717259/ |journal=IEEE Access |volume=10 |pages=20357–20374 |doi=10.1109/ACCESS.2022.3152803 |issn=2169-3536}}</ref> The reasons for adopting a LIMS and other [[laboratory informatics]] solutions varies by laboratory, but common purposes for adopting such systems include wanting to automate and better manage laboratory processes; more accurately capture laboratory and experiment data; more efficiently calculate, prepare, and disseminate analytical results; better aggregate and analyze laboratory data and information; increase throughput and productivity; and enhance regulatory compliance.<ref name="AstrixProgress22" /> Through regulatory, market, customer, and technological pressures, many laboratories have decided that increasingly digitizing the laboratory makes sense in its efforts towards compliance, competitiveness, relevancy, and efficiency.<ref name="AstrixProgress22" /><ref name="LiscouskiJust23">{{cite book |url=https://www.limswiki.org/index.php/LII:Justifying_LIMS_Acquisition_and_Deployment_within_Your_Organization/Introduction_to_LIMS_and_its_acquisition_and_deployment |title=Justifying LIMS Acquisition and Deployment within Your Organization |chapter=1. Introduction to LIMS and its acquisition and deployment |author=Liscouski, J. |editor=Douglas, S.E. |publisher=LIMSwiki |date=July 2023 |accessdate=13 March 2024}}</ref> A LIMS deployment primarily focuses on sample management, data acquisition, and reporting activities; however, its scope can expand much further depending on the scientific discipline or industry served. The following subsections examine these concepts further.


==Technology==
===Laboratory information management operations===
===Laboratory information management operations===
The LIMS is an evolving concept, with new features and functionality being added often. As laboratory demands change and technological progress continues, the functions of a LIMS will likely also change. Despite these changes, a LIMS tends to have a base set of functionality that defines it. That functionality can roughly be divided into five laboratory processing phases, with numerous software functions falling under each<ref name="MT5310">{{cite journal |title=Laboratory information management systems in the work of the analytic laboratory |journal=Measurement Techniques |author=Skobelev, D.O.; Zaytseva, T.M.; Kozlov, A.D. et al. |volume=53 |issue=10 |pages=1182–1189 |year=2011 |doi=10.1007/s11018-011-9638-7}}</ref>:


The LIMS is an evolving concept, with new features and functionality being added often. As laboratory demands change and technological progress continues, the functions of a LIMS will likely also change. Despite these changes, a LIMS tends to have a base set of functionality that defines it. That functionality can roughly be divided into five laboratory processing phases, with numerous software functions falling under each<ref name=MT5310>{{cite journal|journal=Measurement Techniques |year=2011 |volume=53 |issue=10 |pages=1182–1189 |title=Laboratory information management systems in the work of the analytic laboratory |author=D. O. Skobelev, T. M. Zaytseva, A. D. Kozlov, V. L. Perepelitsa, and A. S. Makarova |doi=10.1007/s11018-011-9638-7 |url=http://www.springerlink.com/content/6564211m773v70j1/ |format=PDF}}</ref>:
*the reception and log in of a sample and its associated customer data;
*the assignment, scheduling, and tracking of the sample and the associated analytical workload;
*the processing and quality control associated with the sample and the utilized equipment and inventory;
*the storage of data associated with the sample analysis; and
*the inspection, approval, and compilation of the sample data for reporting and/or further analysis.


* the reception and log in of a sample and its associated customer data
There are several pieces of core functionality associated with these laboratory processing phases that tend to appear in most LIMS.
* the assignment, scheduling, and tracking of the sample and the associated analytical workload
* the processing and quality control associated with the sample and the utilized equipment and inventory
* the storage of data associated with the sample analysis
* the inspection, approval, and compilation of the sample data for reporting and/or further analysis
 
There are several pieces of core functionality associated with these laboratory processing phases that tend to appear in most LIMS:


====Sample management====
====Sample management====
[[File:Lab worker with blood samples.jpg|thumb|right|A lab worker matches blood samples to documents. With a LIMS, this sort of sample management is made more efficient.]]
[[File:Lab worker with blood samples.jpg|thumb|260px|right|A lab worker matches blood samples to documents. With a LIMS, this sort of sample management is made more efficient.]]
The core function of LIMS has traditionally been the management of samples.<ref name="LIMSHistory" /> This typically is initiated when a sample is received in the laboratory, at which point the sample will be registered in the LIMS. This registration process may involve [[accessioning]] the sample and producing [[Barcode|barcodes]] to affix to the sample container. Various other parameters such as clinical or [[Phenotype|phenotypic]] information corresponding with the sample are also often recorded. The LIMS then tracks chain of custody as well as sample location.  Location tracking usually involves assigning the sample to a particular freezer location, often down to the granular level of shelf, rack, box, row, and column. Other event tracking such as freeze and thaw cycles that a sample undergoes in the laboratory may be required.
The core function of LIMS has traditionally been and largely continues to be the management of samples.<ref name="LIMSHistory" /><ref name="KranjcIntro21">{{Citation |last=Kranjc |first=Tilen |date=2021-08-16 |editor-last=Zupancic |editor-first=Klemen |editor2-last=Pavlek |editor2-first=Tea |editor3-last=Erjavec |editor3-first=Jana |title=Introduction to Laboratory Software Solutions and Differences Between Them |url=https://onlinelibrary.wiley.com/doi/10.1002/9783527825042.ch3 |work=Digital Transformation of the Laboratory |language=en |edition=1 |publisher=Wiley |pages=75–84 |doi=10.1002/9783527825042.ch3 |isbn=978-3-527-34719-3 |accessdate=2024-03-12}}</ref> This typically is initiated when a sample is received in the laboratory, at which point the sample will be registered in the LIMS. This registration process may involve [[Accessioning (medical)|accessioning]] the sample and producing [[Barcode|barcodes]] to affix to the sample container. Various other parameters, such as clinical or phenotypic [[information]] corresponding with the sample, are also often recorded.<ref name="KranjcIntro21" /> The LIMS can then track a sample's progress throughout the lab and its workflow. In many cases, location tracking can be quite granular, down to a particular freezer location, even down to the level of shelf, rack, box, row, and column. Beyond location, other aspects of and actions upon the sample can be tracked and time-stamped, including freeze and thaw cycles that a sample undergoes, [[Aliquot|aliquoting]] of the sample, and more.


Modern LIMS have implemented extensive configurability as each laboratory's needs for tracking additional data points can vary widely. LIMS vendors cannot typically make assumptions about what these data tracking needs are, and therefore vendors must create LIMS that are adaptable to individual environments. LIMS users may also have regulatory concerns to comply with such as [[CLIA]], [[HIPAA]], [[GLP]], and FDA specifications, affecting certain aspects of sample management in a LIMS solution.<ref>{{cite web|url=http://www.designworldonline.com/articles/251/4/Regulatory-compliance-drives-LIMS.aspx |author=Tomiello, Kathryn |title=Regulatory compliance drives LIMS |publisher=Design World |date=21 February 2007 |accessdate=26 April 2011}}</ref> One key to compliance with many of these standards is audit logging of all changes to LIMS data, and in some cases a full [[electronic signature]] system is required for rigorous tracking of field-level changes to LIMS data.
Modern LIMS have implemented extensive configurability, as each laboratory's needs for tracking additional data points can vary widely. LIMS vendors cannot typically make assumptions about what these data tracking needs are, and therefore vendors often create LIMS that are adaptable to individual environments. This typically involves the inclusion of workflow management tools in the LIMS. Users may also have regulatory concerns to comply with such as [[CLIA]], [[HIPAA]], [[21 CFR Part 11]], good laboratory practice (GLP), and FDA specifications, affecting certain aspects of sample management in a LIMS solution.<ref name="KranjcIntro21" /><ref name="RegCompLIMS">{{cite web |url=https://www.designworldonline.com/Regulatory-compliance-drives-LIMS/ |title=Regulatory compliance drives LIMS |author=Zipp, K. |work=Design World |publisher=WTWH Media, LLC |date=21 February 2007 |accessdate=12 March 2024}}</ref><ref name="BoyarLab21">{{Citation |last=Boyar |first=Kyle |last2=Pham |first2=Andrew |last3=Swantek |first3=Shannon |last4=Ward |first4=Gary |last5=Herman |first5=Gary |date=2021 |editor-last=Opie |editor-first=Shaun R. |title=Laboratory Information Management Systems (LIMS) |url=http://link.springer.com/10.1007/978-3-030-62716-4_7 |work=Cannabis Laboratory Fundamentals |language=en |publisher=Springer International Publishing |place=Cham |pages=131–151 |doi=10.1007/978-3-030-62716-4_7 |isbn=978-3-030-62715-7 |accessdate=2024-03-12}}</ref><ref name="FamiliLab22">{{Citation |last=Famili |first=Parsa |last2=Cleary |first2=Susan |date=2022-03-09 |editor-last=Huynh‐Ba |editor-first=Kim |title=Laboratory Information Management System (LIMS) and Electronic Data |url=https://onlinelibrary.wiley.com/doi/10.1002/9781119680475.ch10 |work=Analytical Testing for the Pharmaceutical GMP Laboratory |language=en |edition=1 |publisher=Wiley |pages=345–373 |doi=10.1002/9781119680475.ch10 |isbn=978-1-119-12091-9 |accessdate=2024-03-12}}</ref> In the end, an analytical lab's deliverables are the results of its analyses of samples and specimens; it's imperative they are timely, accurate, and of good provenance. At the core of any modern sample management activities is the concept of "[[data integrity]]", and a LIMS' ability to track sample-related data and metadata at every step of the laboratory workflow from the point of origin (thanks to instrument integration functionality<ref name="KranjcIntro21" />; see next subsection), all while using [[audit trail]] and [[electronic signature]] functionality, positively lends to a lab's overall approach to data integrity and producing accurate, defensible results.<ref name="FamiliLab22" /><ref name="McDowallHowCan16">{{cite journal |url=https://www.chromatographyonline.com/view/how-can-lims-help-ensure-data-integrity |title=How Can LIMS Help Ensure Data Integrity? |author=McDowall, R.D. |journal=LCGC Europe |volume=29 |issue=6 |pages=310–16 |year=2016 |accessdate=12 March 2024}}</ref>


====Instrument and application integration====
====Instrument and application integration====
Modern LIMS offer an increasing amount of integration with laboratory instruments and applications. A LIMS may create control files that are "fed" into the instrument and direct its operation on some physical item such as a sample tube or sample plate. The LIMS may then import instrument results files to extract data for quality control assessment of the operation on the sample. Access to the instrument data can sometimes be regulated based on chain of custody assignments or other security features if need be.
Modern LIMS offer integration with laboratory instruments, a desirable feature for data integrity purposes.<ref name="KranjcIntro21" /> This used to be a costly and time-consuming process<ref name="Lanewala2024LIMS24" /><ref name="John3504HL7_11">{{cite web |url=https://community.spiceworks.com/topic/175107-hl7-interface-cost-and-maintenance |title=HL7 Interface cost and maintenance |author=John3504 |work=Spiceworks |date=07 December 2011 |accessdate=12 March 2024}}</ref><ref name="MLOStaffInterf12">{{cite web |url=https://www.mlo-online.com/home/article/13004490/interfacing-the-lis |title=Interfacing the LIS |author=MLO Staff |work=Medical Laboratory Observer |date=01 August 2012 |accessdate=12 March 2024}}</ref><ref name="DuckworthITIn">{{cite web |url=https://www.laboratorynetwork.com/doc/it-in-the-lab-the-instrument-interface-revisi-0002 |title=IT in the Lab: The Instrument Interface... Revisited |author=Duckworth, J. |work=Laboratory Network |accessdate=28 February 2024}}</ref>, setting up a control file on an instrument-by-instrument basis, which would "feed" into the instrument and direct its operation on some physical item such as a sample tube or sample plate. The LIMS would then import instrument results files back into the system and extract data for quality control assessment of the operation on the sample. The rise of modular, pre-configured [[middleware]] solutions that can from the start interface a series of device and device types to a LIMS more efficiently has in small part lessened this burden for LIMS users, however.<ref name="Lanewala2024LIMS24" /><ref name="MLOStaffInterf12" /> In all cases, the LIMS may also limit access to that instrument data fed into the system based on chain of custody assignments or other security features if need be.
 
In addition, a LIMS typically allows for the import and management of raw assay data results.<ref name="LBAssays">{{cite book |title=Ligand-Binding Assays: Development, Validation, and Implementation in the Drug Development Arena |author=Khan, Masood N.; Findlay, John W. |chapter=11.6 Integration: Tying It All Together |year=2009 |pages=324 |publisher=John Wiley & Sons |url=https://books.google.com/books?id=QzM0LUMfdAkC |isbn=0470041382 |accessdate=21 March 2020}}</ref> Modern targeted assays such as qPCR and deep [[sequencing]] can produce tens of thousands of data points per sample, all while the qPCR instrument is difficult itself to directly interface with the LIMS.<ref name="KranjcIntro21" /> Furthermore, in the case of drug and diagnostic development, a dozen or more assays may be run for any given sample. As such, the LIMS ideally will still provide a means to import raw data files extracted from instruments like qPCR even if the instrument itself can't be directly interfaced. However, in order to track and make usable this imported data, a LIMS solution needs to be adaptable to many different assay formats at both the data layer and import creation layer, while maintaining a high level of overall performance.


A relatively new development in LIMS products is the ability to import and manage raw assay data results.{{Citation needed|date=April 2011}} Modern targeted assays such as qPCR and deep sequencing can produce tens of thousands of data points per sample. Furthermore, in the case of drug and diagnostic development as many as 12 or more assays may be run for each sample. In order to track this data, a LIMS solution needs to be adaptable to many different assay formats at both the data layer and import creation layer, while maintaining a high level of overall performance.  Some LIMS products address this by simply attaching assay data as [[Binary large object|BLOB]]s to samples, but this limits the utility of that data in data mining and downstream analysis.
Increasingly, a LIMS also provides the ability to integrate with other third-party applications such as ELNs, [[enterprise resource planning]] (ERP) systems, or regulatory compliance systems (such as [[Seed-to-sale|seed-to-sale]] reporting systems for [[wikipedia:Cannabis|cannabis]] testing).<ref name="KranjcIntro21" /><ref name="CSols10Ways17">{{cite web |url=https://www.csolsinc.com/blog/10-ways-lims-can-automate-lab/ |title=10 Ways LIMS Can Automate Your Lab |publisher=CSols, Inc |date=09 February 2017 |accessdate=12 March 2024}}</ref><ref name="AudinoManaging18">{{cite web |url=https://cannabisindustryjournal.com/feature_article/managing-cannabis-testing-lab-workflows-using-lims/ |title=Managing Cannabis Testing Lab Workflows using LIMS |author=Audino, S. |work=Cannabis Industry Journal |date=07 February 2018 |accessdate=12 March 2024}}</ref> This integration is typically achieved through the use of an [[application programming interface]] (API)<ref name="CSols10Ways17" /><ref name="AudinoManaging18" /><ref name="BerezinTenSimp23">{{Cite journal |last=Berezin |first=Casey-Tyler |last2=Aguilera |first2=Luis U. |last3=Billerbeck |first3=Sonja |last4=Bourne |first4=Philip E. |last5=Densmore |first5=Douglas |last6=Freemont |first6=Paul |last7=Gorochowski |first7=Thomas E. |last8=Hernandez |first8=Sarah I. |last9=Hillson |first9=Nathan J. |last10=King |first10=Connor R. |last11=Köpke |first11=Michael |date=2023-12-07 |editor-last=Markel |editor-first=Scott |title=Ten simple rules for managing laboratory information |url=https://dx.plos.org/10.1371/journal.pcbi.1011652 |journal=PLOS Computational Biology |language=en |volume=19 |issue=12 |pages=e1011652 |doi=10.1371/journal.pcbi.1011652 |issn=1553-7358 |pmc=PMC10703290 |pmid=38060459}}</ref>, code which serves as an interface between different software programs and databases, and facilitates their interactions.


====Electronic data exchange====
====Electronic data exchange====
The exponentially growing volume of data created in laboratories coupled with increased business demands and focus on profitability have pushed LIMS vendors to increase attention to how their LIMS handles electronic data exchanges. Attention must be paid to how an instrument's input and output data is managed, how remote  
The exponentially growing volume of data created in laboratories, coupled with increased business demands and focuses on profitability, have pushed LIMS vendors to increase attention to how their LIMS handles the electronic exchange of data with other systems and instruments. The effectiveness of this data exchange is highly important to regulated industries that regularly report to an authority, as found with cannabis testing and some U.S. states' reporting requirements<ref name="AudinoManaging18" />, as well as clinical labs reporting to state- and federal-based public health agencies.<ref>{{Cite journal |last=Rajamani |first=Sripriya |last2=Kayser |first2=Ann |last3=Emerson |first3=Emily |last4=Solarz |first4=Sarah |date=2018-09-21 |title=Evaluation of Data Exchange Process for Interoperability and Impact on Electronic Laboratory Reporting Quality to a State Public Health Agency |url=https://journals.uic.edu/ojs/index.php/ojphi/article/view/9317 |journal=Online Journal of Public Health Informatics |volume=10 |issue=2 |doi=10.5210/ojphi.v10i2.9317 |issn=1947-2579 |pmc=PMC6194099 |pmid=30349622}}</ref> (Many labs' electronic systems' ability to exchange data with public health agencies was put to the test during the height of the [[COVID-19]] [[pandemic]].<ref name="DouglasWorkflow21">{{cite book |url=https://www.limswiki.org/index.php/LII:COVID-19_Testing,_Reporting,_and_Information_Management_in_the_Laboratory/Workflow_and_information_management_for_COVID-19_(and_other_respiratory_diseases) |title=COVID-19 Testing, Reporting, and Information Management in the Laboratory |chapter=4. Workflow and information management for COVID-19 (and other respiratory diseases) |author=Douglas, S.E. |publisher=LIMSwiki |edition=Fall 2021 |date=September 2021 |accessdate=12 March 2024}}</ref> In some cases, academic clinical research labs with the means to test patients using their qPCR devices simply couldn't exchange data with health systems' [[Electronic health record|electronic health records]] [EHRs], which ultimately excluded those labs from assisting with COVID-19 testing.<ref name="MaxmenThousands20">{{cite journal |title=Thousands of coronavirus tests are going unused in US labs |journal=Nature |author=Maxmen, A. |volume=580 |issue=7803 |pages=312–13 |year=2020 |doi=10.1038/d41586-020-01068-3 |pmid=32273619}}</ref>)
sample collection data is imported and exported, and how PDAs and tablet technology integrates with the LIMS. The successful transfer of data files in Microsoft Excel and other formats, as well as the import and export of data to Oracle, SQL, and Microsoft Access databases is a pivotal aspect of a the modern LIMS.<ref>{{cite web_short|title=2011 LIMS Buyers Guide: How Do I Find the Right LIMS?|url=http://files.limstitute.com/share/lbgonline/how_do_i_find_the_right_lims.htm|publisher=Laboratory Informatics Institute, Inc.||page=2|accessdate=25 April 2011}}</ref> In fact, the transition "from proprietary databases to standardized database management systems such as Oracle ... and SQL" has arguably had one of the biggest impacts on how data is managed and exchanged in laboratories.<ref>Wood, Simon (2007). [http://www.starlims.com/getattachment/735ea676-fe96-4d76-813e-9b8808eab2bb/comprehensive-laboratory-informatics.aspx "Comprehensive Laboratory Informatics: A Multilayer Approach"], pp. 1.</ref>
 
In particular, attention must be paid to how an instrument's input and output data is managed, how remote sample collection data is imported and exported, and how mobile and other third-party applications integrate with the LIMS. The successful transfer of data files in a wide variety of formats (including interoperable nonproprietary file types for better meeting the FAIR principles of making data and information more findable, accessible, interoperable, and reusable<ref name="BerezinTenSimp23" />), while maintaining the associated metadata and keeping it secure, is paramount. Historically speaking, the transition "from proprietary databases to standardized database management systems such as Oracle ... and SQL" has had significant impact on how data is managed and exchanged in laboratories<ref name="WoodCompLabInfo">{{cite web |url=https://www.it.uu.se/edu/course/homepage/lims/vt12/ComprehensiveLaboratoryInformatics.pdf |archiveurl=https://web.archive.org/web/20170825181932/https://www.it.uu.se/edu/course/homepage/lims/vt12/ComprehensiveLaboratoryInformatics.pdf |format=PDF |title=Comprehensive Laboratory Informatics: A Multilayer Approach |author=Wood, S. |work=American Laboratory |page=1 |date=September 2007 |archivedate=25 August 2017 |accessdate=12 March 2024}}</ref>, culminating today in cloud-based relational and NOSQL databases that can be set up, operated, and scaled with relative ease.<ref name="AWSAmazonRDS">{{cite web |url=https://aws.amazon.com/rds/ |title=Amazon Relational Database Service (RDS) |publisher=Amazon Web Services, Inc |accessdate=12 March 2024}}</ref><ref name="LardinoisGoogle17">{{cite web |url=https://techcrunch.com/2017/02/14/google-launches-cloud-spanner-a-new-globally-distributed-database-service/ |title=Google launches Cloud Spanner, its new globally distributed relational database service |author=Lardionois, F. |work=TechCrunch |publisher=Oath, Inc |date=14 February 2017 |accessdate=12 March 2024}}</ref>


====Additional functions====
====Additional functions====
Aside from the key functions of sample management, instrument and application integration, and electronic data exchange, there are numerous additional operations that can be managed in a LIMS. This includes but is not limited to<ref name="Vaughan" /><ref>{{cite web_short|title=2011 LIMS Buyers Guide: How Do I Find the Right LIMS?|url=http://files.limstitute.com/share/lbgonline/how_do_i_find_the_right_lims.htm|publisher=Laboratory Informatics Institute, Inc.||page=1–4|accessdate=25 April 2011}}</ref><ref>{{cite web_short|title=ASTM E1578 - 06 Standard Guide for Laboratory Information Management Systems (LIMS)|url=http://www.astm.org/Standards/E1578.htm|publisher=ASTM International|accessdate=25 April 2011}}</ref>:
In addition to the key functions of sample management, instrument and application integration, and electronic data exchange, there are numerous additional laboratory-based operations that can be managed in a LIMS. This includes but is not limited to<ref name="ASTM_E1578">{{cite web |url=https://www.astm.org/e1578-18.html |title=ASTM E1578-18 Standard Guide for Laboratory Informatics |publisher=ASTM International |date=23 August 2019 |accessdate=12 March 2024}}</ref><ref name="DouglasKeyLIMSFood22">{{cite web |url=https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_for_food_and_beverage_testing%3F |title=LIMS Q&A:What are the key elements of a LIMS for food and beverage testing? |author=Douglas, S.E. |work=LIMSwiki |date=September 2022 |accessdate=12 March 2024}}</ref><ref name="DouglasLIMSpec22">{{cite web |url=https://www.limswiki.org/index.php/LII:LIMSpec_2022_R2 |title=LII:LIMSpec 2022 R2 |author=Douglas, S.E. |work=LIMSwiki |date=December 2022 |accessdate=12 March 2024}}</ref><ref name="DouglasWhatKeyISO23">{{cite web |url=https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_to_better_comply_with_ISO/IEC_17025%3F |title=LIMS Q&A:What are the key elements of a LIMS to better comply with ISO/IEC 17025? |author=Douglas, S.E. |work=LIMSwiki |date=January 2023 |accessdate=12 March 2024}}</ref>:
 
'''Test, sample, and result management'''
 
*End-to-end sample and inventory management and tracking
*Complete capture of a registered sample's data and metadata
*Unique sample identifiers
*Sample batching
*Free-form reception-based sample data
*Barcode and RFID support
*Pre-defined and configurable common and industry-specific sample types, tests, methods, and protocols
*Pre-defined and configurable industry-specific workflows
*Robust sampling and test method development
*Configurable screens and data fields
*Specification management
*Test, sampling, instrument, etc. scheduling and assignment
*Test requesting
*Data import and export
*Robust query tools
*Analytical tools, including data visualization, statistical analysis, and data mining tools
*Project management
*Investigation management
*Facility and sampling site management
*Storage management and monitoring
 
'''Quality, security, and compliance'''
 
*Quality assurance / quality control mechanisms
*Multi-level review of test results
*Validation of sampling and test methods
*Audit trails and chain of custody support
*Support for mapping professional requirements to existing system tasks, sample types, and methods
*Instrument lock-out
*Consistent, retrievable calibration and maintenance records
*Calibration activity linkages
*Calibration and maintenance audit trail
*Incident, nonconformance, and deviation notification, tracking, and management
*Statistical trending and control charts
*Internal and external audit management
*Secure backup and retrieval
*Facility monitoring
*Environmental monitoring
*Data retention and encryption
*Robust system security
*LIMS validation
*Secure granular access
*Logical and physical access control
*Electronic signature support
*Status updates and alerts


; [[Audit|audit]] management
'''Operations management and reporting'''
: fully track and maintain an audit trail
; [[Barcode|barcode]] handling
: assign one or more data points to a barcode format; read and extract information from a barcode
; chain of custody
: assign roles and groups that dictate access to specific data records and who is managing them
; compliance
: follow regulatory standards that affect the laboratory
; customer relationship management
: handle the demographic information and communications for associated clients
; document management
: process and convert data to certain formats; manage how documents are distributed and accessed
; instrument [[Calibration|calibration]] and maintenance
: schedule important maintenance and calibration of lab instruments and keep detailed records of such activities
; inventory and equipment management
: measure and record inventories of vital supplies and laboratory equipment
; manual and electronic data entry
: provide fast and reliable interfaces for data to be entered by a human or electronic component
; method management
: provide one location for all laboratory process and procedure (P&P) and methodology to be housed and managed
; personnel and workload management
: organize work schedules, workload assignments, employee demographic information, and financial information
; quality assurance and control
: guage and control sample quality, data entry standards, and workflow; reports
: create and schedule reports in a specific format; schedule and distribute reports to designated parties
; time tracking
: claculate and maintain processing and handling times on chemical reactions, workflows, and more


===Client-side LIMS options===
*Document and image management, with versioning and release controls
A LIMS can use many delivery technologies. Thin-client LIMS implementations — including Java-based solutions — often require no special [[Client-side|client-side]] installation resulting in less IT involvement in their deployment.  An exception is a web-based solution based on [[.NET Framework|.NET]] technologies, requiring a special plug-in on the client and may be limited to Microsoft only browsers.  This can lead to issues in instances where there is a high penetration of Apple and Linux usage by lab technicians or researchers. Another concern regarding web-based and web-enabled deployment is possible exploitation by hackers where highly sensitive laboratory and research data may be compromised.  Even with modern security methods in place, deploying a LIMS solution "outside the firewall" of an organization opens the LIMS to potential intrusion.
*Controlled document access
*Provision of the most current document version
*User manuals and training documentation
*Support for unique document identifiers
*Support for training and certification records
*Complaint and problem management
*Unique identification of instruments
*Support for scheduled, frequency-based calibration and maintenance
*Support for data importing and exporting of a variety of formats, including interoperable nonproprietary file types
*Support for data and metadata archiving
*Support for rapid and accurate retrieval of archived data and metadata
*Support for certificates of analysis or similar verification documents
*Support for changed, amended, or re-issued reports
*Configurable dashboards for monitoring, by product, process, facility, etc.
*Industry-compliant reporting and labeling
*Email integration
*Instrument interfacing and data management
*Third-party software and database interfacing
*Supplier/vendor/customer management
*Integrated (or online) system help


''The following represent the four most-used LIMS architectures, and their associated strengths and weaknesses:''
===LIMS architecture and delivery methods===
A LIMS has historically over many decades depended on a variety of architectures and distribution models for its implementation and use. As technology has changed, how a LIMS is installed, managed, and used has also changed with it. The following represents architectures which have been utilized at one point or another.


====Thick-client====
====Thick-client====
A thick-client LIMS is a more traditional client/server architecture, with some of the system residing on the computer or workstation of the user (the client) and the rest on the server. The LIMS software is installed on the client computer, which does all of the data processing. Later it passes information to the server, which has the primary purpose of data storage. Most changes, upgrades, and other modifications will happen on the client side. This was one of the first architectures implemented into a LIMS, having the advantage of providing higher processing speeds (because processing is done on the client and not the server) and slightly more security (as access to the server data is limited only to those with client software). Additionally, thick-client systems have the added advantage of providing more interactivity and customization, though often at a greater learning curve. The disadvantages of client-side LIMS include the need for more robust client computers and more time-consuming upgrades, as well as a lack of base functionality through a web browser. The thick-client LIMS can become web-enabled through an add-on component.<ref name="SciComp">{{cite web|author=O'Leary, Keith M.|title=Selecting the Right LIMS: Critiquing technological strengths and limitations|url=http://www.scimag.com/Selecting-the-Right-LIMS.aspx|publisher=Scientific Computing|accessdate=26 April 2011}}</ref><ref name="LabVantage">{{cite web_short|publisher=LabVantage Solutions, Inc |date=2011 |url=http://www.labvantage.com/resources/pdf/whitepapers/ThinClient1101JY21CYL.pdf |title=How Differences in Technology Affect LIMS Functionality, Cost, & ROI |pages=2–3|accessdate=10 May 2011}}</ref>
A thick-client LIMS is a more traditional client/server architecture, with some of the system residing on the computer or workstation of the user (the client) and the rest on the server. The LIMS software is installed on the client computer, which does all of the data processing. Later it passes information to the server, which has the primary purpose of data storage. Most changes, upgrades, and other modifications will happen on the client side.  
 
This was one of the first architectures implemented into a LIMS, having the advantage of providing higher processing speeds (because processing is done on the client and not the server) and slightly more security (as access to the server data is limited only to those with client software). Additionally, thick-client systems have also provided more interactivity and customization, though often at a greater learning curve. The disadvantages of client-side LIMS include the need for more robust client computers and more time-consuming upgrades, as well as a lack of base functionality through a web browser. The thick-client LIMS can become web-enabled through an add-on component.<ref name="SciComp">{{cite web |url=https://www.scientificcomputing.com/article/2008/08/selecting-right-lims |archiveurl=https://web.archive.org/web/20160829104930/https://www.scientificcomputing.com/article/2008/08/selecting-right-lims |title=Selecting the Right LIMS: Critiquing technological strengths and limitations |author=O'Leary, K.M. |work=Scientific Computing |publisher=Advantage Business Media |date=11 August 2008 |archivedate=29 August 2016 |accessdate=12 March 2024}}</ref><ref name="LabVantageDifInTech">{{cite web |url=http://www.labvantage.com/resources/pdf/whitepapers/ThinClient1101JY21CYL.pdf |archiveurl=https://web.archive.org/web/20140227052508/http://www.labvantage.com/resources/pdf/whitepapers/ThinClient1101JY21CYL.pdf |format=PDF |title=How Differences in Technology Affect LIMS Functionality, Cost, & ROI |publisher=LabVantage Solutions, Inc |date=2011 |pages=2–3 |archivedate=27 February 2014 |accessdate=12 March 2024}}</ref>
 
'''Web-enabled'''
 
A web-enabled LIMS architecture is essentially a thick-client architecture with an added web browser component. In this setup, the client-side software has additional functionality that allows users to interface with the software through their device's browser. This functionality is typically limited only to certain functions of the web client. The primary advantage of a web-enabled LIMS is the end-user can access data both on the client side and the server side of the configuration. As in a thick-client architecture, updates in the software must be propagated to every client machine. However, the added disadvantages of requiring always-on access to the host server and the need for cross-platform functionality mean that additional overhead costs may arise.<ref name="SciComp" /><ref name="LabVantageDifInTech" />


====Thin-client====
====Thin-client====
A thin-client LIMS is a more modern architecture which offers full application functionality accessed through a device's web browser. The actual LIMS software resides on a server (host) which feeds and processes information without saving it to the user's hard disk. Any necessary changes, upgrades, and other modifications are handled by the entity hosting the server-side LIMS software, meaning all end-users see all changes made. To this end, a true thin-client LIMS will leave no "footprint" on the client's computer, and only the integrity of the web browser need be maintained by the user. The advantages of this system include significantly lower cost of ownership and fewer network and client-side maintenance expenses. However, this architecture has the disadvantage of requiring real-time server access, a need for increased network throughput, and slightly less functionality. A sort of hybrid architecture that incorporates the features of thin-client browser usage with a thick client exists in the form of a web-based LIMS.<ref name="SciComp" /><ref name="LabVantage" />
[[File:Cloud computing.svg|right|thumb|360px|The concept of cloud computing is one of the most recent architecture and delivery models to affect LIMS.]]A thin-client LIMS is a more modern architecture which offers full application functionality accessed through a device's web browser. The actual LIMS software resides on a server (host) which feeds and processes information without saving it to the user's hard disk. Any necessary changes, upgrades, and other modifications are handled by the entity hosting the server-side LIMS software, meaning all end-users see all changes made. To this end, a true thin-client LIMS will leave no "footprint" on the client's computer, and only the integrity of the web browser need be maintained by the user. The advantages of this system include significantly lower cost of ownership and fewer network and client-side maintenance expenses. However, this architecture has the disadvantage of requiring real-time server access, a need for increased network throughput, and slightly less functionality. A sort of hybrid architecture that incorporates the features of thin-client browser usage with a thick client installation exists in the form of a web-based LIMS.<ref name="SciComp" /><ref name="LabVantageDifInTech" />


Some LIMS vendors are beginning to rent hosted, thin-client solutions as "[[Software as a service|software as a service]]" (SaaS).  These solutions tend to be less configurable than on premise solutions and are therefore considered for less demanding implementations such as laboratories with few users and limited sample processing volumes.  
Additionally, maintenance support and warranty (MSW) agreements are usually offered with thin-client installations. Pricing levels are typically based on a percentage of the license fee, with a standard level of service for 10 concurrent users being approximately 10 hours of support and additional customer service at a set per-hour rate. Though some may choose to opt out of an MSW after the first year, it's often more economical to continue the plan in order to receive updates to the LIMS, giving it a longer life span in the laboratory.


Another implementation of the thin client architecture that's offered is the [[Annual maintenance support and warranty|maintenance, warranty, and support]] (MSW) agreement. Pricing levels are typically based on a percentage of the license fee, with a standard level of service for 10 concurrent users being approximately 10 hours of supports and additional customer service at $200 per hour.<ref>{{cite web|title=2011 LIMS Buyers Guide: How Do I Find the Right LIMS?|url=http://files.limstitute.com/share/lbgonline/how_do_i_find_the_right_lims.htm|publisher=Laboratory Informatics Institute, Inc.||page=4|accessdate=25 April 2011}}</ref> Though some may choose to opt out of an MSW after the first year, it's often more economical to continue the plan in order to receive updates to the LIMS, giving it a longer life span in the laboratory.
'''Cloud and SaaS'''


====Web-enabled====
In the early 2010s, LIMS vendors began to rent hosted, thin-client solutions as "[[Software as a service|software as a service]]" (SaaS). These cloud-based solutions tended to be less configurable than on-premise solutions and were therefore considered for less demanding implementations such as laboratories with few users and limited sample processing volumes. However, cloud-based software has seen greater adoption as the technology has improved, and configurable LIMS for laboratory operations big and small have become a more realistic option.<ref name="KnippenbergMoving17" /><ref name="JoyceWhatYou17" /><ref name="AstrixProgress22" /><ref name="Lanewala2024LIMS24" /> For example, a June 2022 report published by Astrix Technology found that of life science organizations surveyed, 78 percent of them indicated they have adopted and used or plan to adopt and use cloud-based applications; of all respondents, 43 percent said they are taking a cloud-first or cloud-only approach to its laboratory applications.<ref name="AstrixProgress22" />
A web-enables LIMS architecture is essentially a thick-client architecture with an added web browser component. In this setup, the client-side software has additional functionality that allows users to interface with the software through their device's browser. This functionality is typically limited only to certain functions of the web client. The primary advantage of a web-enabled LIMS is the end-user can access data both on the client side and the server side of the configuration. As in a thick-client architecture, updates in the software must be propagated to every client machine. However, the added disadvantages of requiring always-on access to the host server and the need for cross-platform functionality mean that additional overhead costs may arise.<ref name="SciComp" /><ref name="LabVantage" />


====Web-based====
====Web-based====
Arguably one of the most confusing architectures, web-based LIMS architecture is a hybrid of the thick- and thin-client architectures. While much of the client-side work is done through a web browser, the LIMS also requires the additional support of Microsoft's .NET Framework technology installed on the client device. The end result is a process that is apparent to the end-user through the Microrosoft-compatible web browser, but perhaps not so apparent as it runs thick-client-like processing in the background. In this case, web-based architecture has the advantage of providing more functionality through a more friendly web interface. The disadvantages of this setup are more sunk costs in system administration and support for Internet Explorer and .NET technologies, and reduced functionality on PDAs and tablets.<ref name="SciComp" /><ref name="LabVantage" />
Arguably one of the most confusing architectures, web-based LIMS architecture is a hybrid of the thick- and thin-client architectures. While much of the client-side work is done through a web browser, the LIMS also requires the additional support of Microsoft's .NET Framework technology installed on the client device. The end result is a process that is apparent to the end-user through the Microsoft-compatible web browser, but perhaps not so apparent as it runs thick-client-like processing in the background. In this case, web-based architecture has the advantage of providing more functionality through a more friendly web interface. The disadvantages of this setup are more sunk costs in system administration and support for Internet Explorer and .NET technologies, and reduced functionality on mobile platforms.<ref name="SciComp" /><ref name="LabVantageDifInTech" />
 
==The distinction between a LIMS and a LIS==
Historically, the LIMS and LIS have exhibited a few key differences, making them noticeably separate entities<ref name="StarlimsLimsLis">{{cite web |url=http://www.starlims.com/en-us/services-and-resources/resources/lis-vs-lims/ |archiveurl=https://web.archive.org/web/20140428060811/http://www.starlims.com/en-us/resources/white-papers/lis-vs-lims/ |title=Adding "Management" to Your LIS |publisher=STARLIMS Corporation |date=2012 |archivedate=28 April 2014 |accessdate=13 March 2024}}</ref>:


=== LIMS configurability ===
1. A LIMS traditionally has been designed to process and report data related to batches of samples from biology labs, water treatment facilities, drug trials, and other entities that handle complex batches of data. A LIS has been designed primarily for processing and reporting data related to individual patients in a clinical setting.<ref name="lislims1">{{cite web |url=http://labsoftnews.typepad.com/lab_soft_news/2008/11/liss-vs-limss-its-time-to-consider-merging-the-two-types-of-systems.html |title=LIS vs. LIMS: It's Time to Blend the Two Types of Lab Information Systems |author=Friedman, B. |work=Lab Soft News |date=04 November 2008 |accessdate=13 March 2024}}</ref><ref name="analytica">{{cite web |url=https://www.analytica-world.com/en/news/35566/lims-lis-market-and-poct-supplement.html |title=LIMS/LIS Market and POCT Supplement |work=analytica-world.com |date=20 February 2004 |accessdate=13 March 2024}}</ref>
LIMS implementations are notorious for often being lengthy and costly.<ref>{{cite web|url=http://www.scientificcomputing.com/articles-In-Industry-Insights-Examining-the-Risks-Benefits-and-Trade-offs-of-Today-LIMS-033110.aspx |author=Royce, John R. |title=Industry Insights: Examining the Risks, Benefits and Trade-offs of Today’s LIMS |publisher=Scientific Computing |date=31 March 2010 |accessdate=13 February 2012}}</ref> This is due in part to the diversity of requirements within each lab, but also to the inflexible nature of LIMS products for adapting to these widely varying requirements.  Newer LIMS solutions are beginning to emerge that take advantage of modern techniques in software design that are inherently more configurable and adaptable — particularly at the data layer — than prior solutions.  This means not only that implementations are much faster, but also that the costs are lower and the risk of obsolescence is minimized.


==Standards covered by LIMS==
2. A LIMS needs to satisfy good manufacturing practice (GMP) and meet the reporting and audit needs of the U.S. [[Food and Drug Administration]] and research scientists in many different industries. A LIS, however, must satisfy the reporting and auditing needs of [[hospital]] accreditation agencies, [[HIPAA]], and other clinical medical practitioners.<ref name="lislims1" />
A LIMS covers standards such as:


* [[21 CFR Part 11|Title 21 CFR Part 11]] from the [[Food and Drug Administration]] (United States)
3. A LIMS is most competitive in group-centric settings (dealing with "batches" and "samples") that often deal with mostly anonymous research-specific laboratory data, whereas a LIS is usually most competitive in patient-centric settings (dealing with "subjects" and "specimens") and clinical labs.<ref name="analytica" /><ref name="lislims2">{{cite web |url=http://labsoftnews.typepad.com/lab_soft_news/2008/11/lis-vs-lims.html |title=LIS vs. LIMS: Some New Insights |author=Friedman, B. |work=Lab Soft News |date=19 November 2008 |accessdate=13 March 2024}}</ref><ref name="starlims">{{cite web |url=http://blog.starlims.com/2009/07/01/swimming-in-the-clinical-pool-why-lims-are-supplanting-old-school-clinical-lis-applications/ |archiveurl=https://web.archive.org/web/20110313145726/http://blog.starlims.com/2009/07/01/swimming-in-the-clinical-pool-why-lims-are-supplanting-old-school-clinical-lis-applications/ |title=Swimming in the Clinical Pool: Why LIMS are supplanting old-school clinical LIS applications |author=Hice, R. |publisher=STARLIMS Corporation |date=01 July 2009 |archivedate=13 March 2011 |accessdate=13 March 2024}}</ref>
* [[ISO 17025]]
* [[ISO 15189]]
* [[Good laboratory practice]]


==LIMS vendors==
However, these distinctions began to fade somewhat in the early 2010s as some LIMS vendors began to adopt the case-centric information management normally reserved for a LIS, blurring the lines between the two components further.<ref name="starlims" /> [[Vendor:Thermo Scientific|Thermo Scientific]]'s Clinical LIMS was an example of this merger of LIMS with LIS, with Dave Champagne, informatics vice president and general manager, stating: "Routine molecular diagnostics requires a convergence of the up-to-now separate systems that have managed work in the lab (the LIMS) and the clinic (the LIS). The industry is asking for, and the science is requiring, a single lab-centric solution that delivers patient-centric results."<ref name="ConvergeLimsLis">{{cite web |url=https://clpmag.com/lab-essentials/information-technology/convergence-of-lims-and-lis/ |title=Convergence of LIMS and LIS |author=Tufel, G. |work=Clinical Lab Products |publisher=MEDQOR |date=01 February 2012 |accessdate=13 March 2024}}</ref> [[Vendor:Abbott Informatics Corporation|Abbott Informatics Corporation]]'s STARLIMS product was another example of this LIMS/LIS merger.<ref name="StarlimsLimsLis" /> With the distinction between the two entities becoming less clear, discussions within the laboratory informatics community began to includes the question of whether or not the two entities should be considered the same.<ref name="LinkedInDifLisLims">{{cite web |url=https://www.linkedin.com/feed/update/urn:li:groupPost:2069898-98494737/ |title=What is the difference between a LIS and a LIMS? |author=Jones, J. |publisher=LinkedIn |date=March 2012 |accessdate=13 March 2024}}</ref><ref name="LinkedInLisLimsSame">{{cite web |url=http://www.linkedin.com/groups/Are-LIMS-LIS-same-thing-2069898.S.147132083 |title=Are LIMS and LIS the same thing? |author=Jones, John |publisher=LinkedIn |date=September 2012 |accessdate=07 November 2012}}{{Dead link}}</ref> {{As of|2024}}, vendors continue to recognize the historical differences between the two products while also continuing to acknowledge that some developed LIMS are taking on more of the clinical aspects usually reserved for a LIS.<ref name="AgilabFAQ">{{cite web |url=http://agilab.com/faq/ |archiveurl=https://web.archive.org/web/20190325075813/http://agilab.com/faq/ |title=FAQ: What is the difference between a LIMS and a medical laboratory quality system? |publisher=AgiLab SAS |archivedate=25 March 2019 |accessdate=13 March 2024}}</ref><ref name="ReisenwitzWhatIs17">{{cite web |url=https://www.capterra.com/resources/what-is-a-laboratory-information-management-system/ |title=What Is a Laboratory Information Management System? |author=Reisenwitz, C. |work=Capterra Medical Software Blog |publisher=Capterra, Inc |date=11 May 2017 |accessdate=13 March 2024}}</ref><ref name="CloudLISDifference16">{{cite web |url=https://cloudlims.com/lims-vs-lis/ |title=LIS vs LIMS: Uncover the Difference & Choose the Right Informatics Solution |publisher=CloudLIMS.com, LLC |date=12 October 2023 |accessdate=13 March 2024}}</ref>


See the [[LIMS vendor]] page for a list of LIMS vendors past and present.
==Regulations, standards, and best practices affecting LIMS development and use==
A LIMS' development and use is affected by regulations, standards, and best practices such as:
 
*[[21 CFR Part 11]] ''Electronic records; Electronic signature'': Regulated clinical-focused industries, such as [[medical device]]s or pharmaceuticals, are expected to comply with U.S. [[Food and Drug Administration]] (FDA) regulations like 21 CFR Part 11, which address matters of software validation, data integrity, [[data retention]], audit trails, signed records, and secured access to data. These matters pertain to software systems like LIMS and ELN, as well as other systems employed in modern laboratories.<ref name="21CFR11">{{cite web |url=https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfCFR/CFRSearch.cfm?CFRPart=11&showFR=1 |title=CFR - Code of Federal Regulations Title 21, Part 11 Electronic Records; Electronic Signatures |publisher=U.S. Food and Drug Administration |date=22 December 2023 |accessdate=12 March 2024}}</ref><ref name="RDEditorsAQuick12">{{cite web |url=https://www.rdworldonline.com/a-quick-guide-to-eln-regulatory-requirements/ |title=A Quick Guide to ELN Regulatory Requirements |author=R&D Editors |work=R&D World |date=10 May 2012 |accessdate=12 March 2024}}</ref><ref name="LFWhite20">{{cite web |url=https://labfolder.com/wp-content/uploads/2020/01/Labfolder-CFR21-Part11-Whitepaper.docx-2.pdf |format=PDF |title=Whitepaper: FDA's 21 CFR Part 11 |publisher=Labforward GmbH |date=January 2020 |accessdate=12 March 2024}}</ref>
*[[ASTM E1578]] ''Standard Guide for Laboratory Informatics'': This standard is geared towards a variety of stakeholders having some sort of professional interest in laboratory informatics. It intends to educate on and recommend approaches to laboratory software development, acquisition, implementation, and maintenance, including as how they relate to LIMS.<ref name="ASTME1578">{{cite web |url=https://www.astm.org/e1578-18.html |title=ASTM E1578-18 Standard Guide for Laboratory Informatics |publisher=ASTM International |date=23 August 2019 |accessdate=13 March 2024}}</ref>
*[[Good laboratory practice]] (GLP): GLP is a quality- and data-driven approach to ensuring the safety, consistency, high quality, and reliability of developed and produced goods. These best practices address a variety of aspects of non-clinical research and manufacturing laboratory workflows, from personnel and equipment to tests and reporting. Some LIMS are developed to help labs better enforce a GLP approach to its operations.<ref>{{Cite book |date=2023 |editor-last=Elzagheid |editor-first=Mohamed |title=Chemical technicians: good laboratory practice and laboratory information management systems |series=De Gruyter Textbook |edition=1st |publisher=De Gruyter |place=Boston |isbn=978-3-11-119110-2}}</ref>
*[[ISO 15189]] ''Medical laboratories — Requirements for quality and competence'': This standard specifies quality management approaches to clinical laboratory settings. It pulls inspiration from ISO/IEC 17025 while acknowledging the unique characteristics and needs of the clinical lab. The standard's requirements on laboratory need for addressing cybersecurity, system validation, and more apply directly to LIMS development and implementation.<ref>{{Cite journal |last=Ilinca |first=Radu |last2=Chiriac |first2=Ionuț A. |last3=Luțescu |first3=Dan A. |last4=Ganea |first4=Ionela |last5=Hristodorescu-Grigore |first5=Smaranda |last6=Dănciulescu-Miulescu |first6=Rucsandra-Elena |date=2023-04-01 |title=Understanding the key differences between ISO 15189:2022 and ISO 15189:2012 for an improved medical laboratory quality of service |url=https://www.sciendo.com/article/10.2478/rrlm-2023-0011 |journal=Revista Romana de Medicina de Laborator |language=en |volume=31 |issue=2 |pages=77–82 |doi=10.2478/rrlm-2023-0011 |issn=2284-5623}}</ref>
*[[ISO/IEC 17025]] ''General requirements for the competence of testing and calibration laboratories'': This standard has evolved significantly over the years, today expressing how analytical and calibration labs should best handle quality management through its operations.<ref>{{Cite journal |last=Miguel |first=Anna |last2=Moreira |first2=Renata |last3=Oliveira |first3=André |date=2021 |title=ISO/IEC 17025: History and introduction of concepts |url=http://quimicanova.sbq.org.br/audiencia_pdf.asp?aid2=9279&nomeArquivo=AG2020-0467.pdf |journal=Química Nova |doi=10.21577/0100-4042.20170726}}</ref> Like ISO 15189, this standard addresses many activities of these labs and how they should best performed to conform to a high level of quality. A LIMS has many ways to address the needs of a lab attempting to comply with the standard.<ref name="DouglasWhatKeyISO23" />


==See also==
==See also==
*[[Laboratory informatics]]
*[[Laboratory informatics]]
*[[LIMS feature|Common LIMS features]]
*[[LIMS feature|Common LIMS features]]


== Further reading ==
==Further reading==
{{cite journal|journal=Laboratory Automation and Information Management|year=1996|volume=32|issue=1|pages=1–5|title=A brief history of LIMS|author=Gibbon, G.A.|doi=10.1016/1381-141X(95)00024-K|url=http://www.sciencedirect.com/science/article/pii/1381141X9500024K|format=PDF}}
* {{cite journal |last=Berezin |first=Casey-Tyler |last2=Aguilera |first2=Luis U. |last3=Billerbeck |first3=Sonja |last4=Bourne |first4=Philip E. |last5=Densmore |first5=Douglas |last6=Freemont |first6=Paul |last7=Gorochowski |first7=Thomas E. |last8=Hernandez |first8=Sarah I. |last9=Hillson |first9=Nathan J. |last10=King |first10=Connor R. |last11=Köpke |first11=Michael |date=2023-12-07 |editor-last=Markel |editor-first=Scott |title=Ten simple rules for managing laboratory information |url=https://dx.plos.org/10.1371/journal.pcbi.1011652 |journal=PLOS Computational Biology |language=en |volume=19 |issue=12 |pages=e1011652 |doi=10.1371/journal.pcbi.1011652 |issn=1553-7358 |pmc=PMC10703290 |pmid=38060459}}
 
* {{citation |last=Famili |first=Parsa |last2=Cleary |first2=Susan |date=2022-03-09 |editor-last=Huynh‐Ba |editor-first=Kim |title=Laboratory Information Management System (LIMS) and Electronic Data |url=https://onlinelibrary.wiley.com/doi/10.1002/9781119680475.ch10 |work=Analytical Testing for the Pharmaceutical GMP Laboratory |language=en |edition=1 |publisher=Wiley |pages=345–373 |doi=10.1002/9781119680475.ch10 |isbn=978-1-119-12091-9}}
Wood, Simon (2007). [http://www.starlims.com/getattachment/735ea676-fe96-4d76-813e-9b8808eab2bb/comprehensive-laboratory-informatics.aspx "Comprehensive Laboratory Informatics: A Multilayer Approach"], pp. 1.
* {{cite journal |title=A brief history of LIMS |journal=Laboratory Automation and Information Management |author=Gibbon, G.A. |volume=32 |issue=1 |pages=1–5 |year=1996 |doi=10.1016/1381-141X(95)00024-K}}
 
==References==
==References==
<references/>
{{Reflist|colwidth=30em}}


[[Category: Laboratory informatics]]
<!---Place all category tags here-->
[[Category:Laboratory informatics]]
[[Category:Software systems]]

Latest revision as of 23:58, 11 April 2024

Laboratories around the world depend on a LIMS to manage data, assign rights, manage inventory, and more.

Sometimes referred to as a laboratory information system (LIS) or laboratory management system (LMS), a laboratory information management system (LIMS) is a software-based laboratory and information management system that offers a set of key features that support a modern laboratory's operations. Those key features include—but are not limited to—workflow and data tracking support, flexible architecture, and smart data exchange interfaces, which fully "support its use in regulated environments."[1] The features and uses of a LIMS have evolved over the years from simple sample tracking to an integrated application that handles laboratory management, quality management, and enterprise resource planning processes, from testing and quality control to reporting and invoicing.

Due to the rapid pace at which laboratories and their data management needs shift, the definition of LIMS has become somewhat controversial. As the needs of the modern laboratory vary widely from lab to lab, what is needed from a LIMS also shifts. The end result: the definition of a LIMS will shift based on who you ask and what their vision of the modern lab is.[1] Dr. Alan McLelland of the Institute of Biochemistry, Royal Infirmary, Glasgow highlighted this problem in the late 1990s by explaining how a LIMS is perceived by an analyst, a laboratory manager, an information systems manager, and an accountant, "all of them correct, but each of them limited by the users' own perceptions."[2]

Historically the term "LIMS" has tended to be used to reference laboratory informatics systems targeted for environmental, research, or industrial analysis such as water quality, pharmaceutical, or petrochemical work. "LIS" has tended to be used to reference informatics systems in the forensics and clinical markets, which often requires special case and patient management tools. In modern times, LIMS functionality has spread even farther beyond its original purpose of sample management. Assay data management, data mining, statistical analysis, electronic laboratory notebook (ELN) integration, and industry-specific functionality that supports regulatory requirements in that industry (e.g., hazard analysis and critical control points [HACCP] workflow tools in food and beverage manufacturing) are all types of functionality added to LIMS, enabling the realization of greater laboratory and enterprise management through one software solution. Additionally, the distinction between a LIMS and a LIS has blurred, as many LIMS now also fully support comprehensive case-centric clinical specimen and patient data management.

History

Up until the late 1970s, management of laboratory samples and their associated analysis and reporting was a time-consuming manual processes often riddled with transcription errors. This gave some organizations impetus to streamline the collection of data and how it was reported. Custom in-house solutions were developed by a few individual laboratories, while some enterprising entities at the same time sought to develop a more commercial reporting solution in the form of special instrument-based systems.[3]

In 1982, the first generation of LIMS was introduced in the form of a single centralized minicomputer, which offered laboratories the first opportunity to utilize automated reporting tools. As the interest in these early LIMS grew, industry leaders like Gerst Gibbon of the Federal Energy Technology Centre in Pittsburgh began planting the seeds through LIMS-related conferences. By 1988, the second-generation commercial offerings were tapping into relational databases to expand LIMS into more application-specific territory, and international LIMS conferences were in full swing. As personal computers became more powerful and prominent, a third generation of LIMS emerged in the early 1990s. These new LIMS took advantage of the developing client/server architecture, allowing laboratories to implement better data processing and exchanges.[3]

By 1995, the client/server tools had developed to the point of allowing processing of data anywhere on the network. Web-enabled LIMS were introduced the following year, enabling researchers to extend operations outside the confines of the laboratory. From 1996 to 2002, additional functionality was included in LIMS, from wireless networking capabilities and georeferencing of samples, to the adoption of XML standards and the development of internet-based purchasing.[3]

By the early 2010s, some LIMS had added additional characteristics that continued to shape how a LIMS was defined. Examples include the addition of clinical functionality and electronic laboratory notebook (ELN) functionality, as well a rise in the cloud-based software as a service (SaaS) distribution model.[4][5] By the late 2010s, cloud-based LIMS were more numerous in quantity and adoption but not the de facto standard, as the costs and daunting nature associated with vendors transitioning legacy products to the cloud and with companies trying to integrate a cloud-based LIMS into a complicated IT and regulatory environment had partially stymied growth.[6][7] Today, despite these challenges, cloud-based approaches to the management of laboratory data continue to see adoption or intent to adopt[8][9], including in the more heavily regulated GxP (good practice) laboratories, which have their own unique challenges with data integrity and security requirements.[10]

Purpose and technology

A LIMS is a software solution designed to allow end users to better manage a wide variety of operational and quality management aspects of academic, government, and industrial laboratories serving a broad range of industries and stakeholders. The software can be monolithic or microservices-based, with each architecture type having its own pros and cons, especially dependent upon the number of concurrent users, desired functional scale, and deployment method (e.g., on-premises vs. in the cloud).[11] The reasons for adopting a LIMS and other laboratory informatics solutions varies by laboratory, but common purposes for adopting such systems include wanting to automate and better manage laboratory processes; more accurately capture laboratory and experiment data; more efficiently calculate, prepare, and disseminate analytical results; better aggregate and analyze laboratory data and information; increase throughput and productivity; and enhance regulatory compliance.[8] Through regulatory, market, customer, and technological pressures, many laboratories have decided that increasingly digitizing the laboratory makes sense in its efforts towards compliance, competitiveness, relevancy, and efficiency.[8][12] A LIMS deployment primarily focuses on sample management, data acquisition, and reporting activities; however, its scope can expand much further depending on the scientific discipline or industry served. The following subsections examine these concepts further.

Laboratory information management operations

The LIMS is an evolving concept, with new features and functionality being added often. As laboratory demands change and technological progress continues, the functions of a LIMS will likely also change. Despite these changes, a LIMS tends to have a base set of functionality that defines it. That functionality can roughly be divided into five laboratory processing phases, with numerous software functions falling under each[13]:

  • the reception and log in of a sample and its associated customer data;
  • the assignment, scheduling, and tracking of the sample and the associated analytical workload;
  • the processing and quality control associated with the sample and the utilized equipment and inventory;
  • the storage of data associated with the sample analysis; and
  • the inspection, approval, and compilation of the sample data for reporting and/or further analysis.

There are several pieces of core functionality associated with these laboratory processing phases that tend to appear in most LIMS.

Sample management

A lab worker matches blood samples to documents. With a LIMS, this sort of sample management is made more efficient.

The core function of LIMS has traditionally been and largely continues to be the management of samples.[3][14] This typically is initiated when a sample is received in the laboratory, at which point the sample will be registered in the LIMS. This registration process may involve accessioning the sample and producing barcodes to affix to the sample container. Various other parameters, such as clinical or phenotypic information corresponding with the sample, are also often recorded.[14] The LIMS can then track a sample's progress throughout the lab and its workflow. In many cases, location tracking can be quite granular, down to a particular freezer location, even down to the level of shelf, rack, box, row, and column. Beyond location, other aspects of and actions upon the sample can be tracked and time-stamped, including freeze and thaw cycles that a sample undergoes, aliquoting of the sample, and more.

Modern LIMS have implemented extensive configurability, as each laboratory's needs for tracking additional data points can vary widely. LIMS vendors cannot typically make assumptions about what these data tracking needs are, and therefore vendors often create LIMS that are adaptable to individual environments. This typically involves the inclusion of workflow management tools in the LIMS. Users may also have regulatory concerns to comply with such as CLIA, HIPAA, 21 CFR Part 11, good laboratory practice (GLP), and FDA specifications, affecting certain aspects of sample management in a LIMS solution.[14][15][16][17] In the end, an analytical lab's deliverables are the results of its analyses of samples and specimens; it's imperative they are timely, accurate, and of good provenance. At the core of any modern sample management activities is the concept of "data integrity", and a LIMS' ability to track sample-related data and metadata at every step of the laboratory workflow from the point of origin (thanks to instrument integration functionality[14]; see next subsection), all while using audit trail and electronic signature functionality, positively lends to a lab's overall approach to data integrity and producing accurate, defensible results.[17][18]

Instrument and application integration

Modern LIMS offer integration with laboratory instruments, a desirable feature for data integrity purposes.[14] This used to be a costly and time-consuming process[9][19][20][21], setting up a control file on an instrument-by-instrument basis, which would "feed" into the instrument and direct its operation on some physical item such as a sample tube or sample plate. The LIMS would then import instrument results files back into the system and extract data for quality control assessment of the operation on the sample. The rise of modular, pre-configured middleware solutions that can from the start interface a series of device and device types to a LIMS more efficiently has in small part lessened this burden for LIMS users, however.[9][20] In all cases, the LIMS may also limit access to that instrument data fed into the system based on chain of custody assignments or other security features if need be.

In addition, a LIMS typically allows for the import and management of raw assay data results.[22] Modern targeted assays such as qPCR and deep sequencing can produce tens of thousands of data points per sample, all while the qPCR instrument is difficult itself to directly interface with the LIMS.[14] Furthermore, in the case of drug and diagnostic development, a dozen or more assays may be run for any given sample. As such, the LIMS ideally will still provide a means to import raw data files extracted from instruments like qPCR even if the instrument itself can't be directly interfaced. However, in order to track and make usable this imported data, a LIMS solution needs to be adaptable to many different assay formats at both the data layer and import creation layer, while maintaining a high level of overall performance.

Increasingly, a LIMS also provides the ability to integrate with other third-party applications such as ELNs, enterprise resource planning (ERP) systems, or regulatory compliance systems (such as seed-to-sale reporting systems for cannabis testing).[14][23][24] This integration is typically achieved through the use of an application programming interface (API)[23][24][25], code which serves as an interface between different software programs and databases, and facilitates their interactions.

Electronic data exchange

The exponentially growing volume of data created in laboratories, coupled with increased business demands and focuses on profitability, have pushed LIMS vendors to increase attention to how their LIMS handles the electronic exchange of data with other systems and instruments. The effectiveness of this data exchange is highly important to regulated industries that regularly report to an authority, as found with cannabis testing and some U.S. states' reporting requirements[24], as well as clinical labs reporting to state- and federal-based public health agencies.[26] (Many labs' electronic systems' ability to exchange data with public health agencies was put to the test during the height of the COVID-19 pandemic.[27] In some cases, academic clinical research labs with the means to test patients using their qPCR devices simply couldn't exchange data with health systems' electronic health records [EHRs], which ultimately excluded those labs from assisting with COVID-19 testing.[28])

In particular, attention must be paid to how an instrument's input and output data is managed, how remote sample collection data is imported and exported, and how mobile and other third-party applications integrate with the LIMS. The successful transfer of data files in a wide variety of formats (including interoperable nonproprietary file types for better meeting the FAIR principles of making data and information more findable, accessible, interoperable, and reusable[25]), while maintaining the associated metadata and keeping it secure, is paramount. Historically speaking, the transition "from proprietary databases to standardized database management systems such as Oracle ... and SQL" has had significant impact on how data is managed and exchanged in laboratories[29], culminating today in cloud-based relational and NOSQL databases that can be set up, operated, and scaled with relative ease.[30][31]

Additional functions

In addition to the key functions of sample management, instrument and application integration, and electronic data exchange, there are numerous additional laboratory-based operations that can be managed in a LIMS. This includes but is not limited to[32][33][34][35]:

Test, sample, and result management

  • End-to-end sample and inventory management and tracking
  • Complete capture of a registered sample's data and metadata
  • Unique sample identifiers
  • Sample batching
  • Free-form reception-based sample data
  • Barcode and RFID support
  • Pre-defined and configurable common and industry-specific sample types, tests, methods, and protocols
  • Pre-defined and configurable industry-specific workflows
  • Robust sampling and test method development
  • Configurable screens and data fields
  • Specification management
  • Test, sampling, instrument, etc. scheduling and assignment
  • Test requesting
  • Data import and export
  • Robust query tools
  • Analytical tools, including data visualization, statistical analysis, and data mining tools
  • Project management
  • Investigation management
  • Facility and sampling site management
  • Storage management and monitoring

Quality, security, and compliance

  • Quality assurance / quality control mechanisms
  • Multi-level review of test results
  • Validation of sampling and test methods
  • Audit trails and chain of custody support
  • Support for mapping professional requirements to existing system tasks, sample types, and methods
  • Instrument lock-out
  • Consistent, retrievable calibration and maintenance records
  • Calibration activity linkages
  • Calibration and maintenance audit trail
  • Incident, nonconformance, and deviation notification, tracking, and management
  • Statistical trending and control charts
  • Internal and external audit management
  • Secure backup and retrieval
  • Facility monitoring
  • Environmental monitoring
  • Data retention and encryption
  • Robust system security
  • LIMS validation
  • Secure granular access
  • Logical and physical access control
  • Electronic signature support
  • Status updates and alerts

Operations management and reporting

  • Document and image management, with versioning and release controls
  • Controlled document access
  • Provision of the most current document version
  • User manuals and training documentation
  • Support for unique document identifiers
  • Support for training and certification records
  • Complaint and problem management
  • Unique identification of instruments
  • Support for scheduled, frequency-based calibration and maintenance
  • Support for data importing and exporting of a variety of formats, including interoperable nonproprietary file types
  • Support for data and metadata archiving
  • Support for rapid and accurate retrieval of archived data and metadata
  • Support for certificates of analysis or similar verification documents
  • Support for changed, amended, or re-issued reports
  • Configurable dashboards for monitoring, by product, process, facility, etc.
  • Industry-compliant reporting and labeling
  • Email integration
  • Instrument interfacing and data management
  • Third-party software and database interfacing
  • Supplier/vendor/customer management
  • Integrated (or online) system help

LIMS architecture and delivery methods

A LIMS has historically over many decades depended on a variety of architectures and distribution models for its implementation and use. As technology has changed, how a LIMS is installed, managed, and used has also changed with it. The following represents architectures which have been utilized at one point or another.

Thick-client

A thick-client LIMS is a more traditional client/server architecture, with some of the system residing on the computer or workstation of the user (the client) and the rest on the server. The LIMS software is installed on the client computer, which does all of the data processing. Later it passes information to the server, which has the primary purpose of data storage. Most changes, upgrades, and other modifications will happen on the client side.

This was one of the first architectures implemented into a LIMS, having the advantage of providing higher processing speeds (because processing is done on the client and not the server) and slightly more security (as access to the server data is limited only to those with client software). Additionally, thick-client systems have also provided more interactivity and customization, though often at a greater learning curve. The disadvantages of client-side LIMS include the need for more robust client computers and more time-consuming upgrades, as well as a lack of base functionality through a web browser. The thick-client LIMS can become web-enabled through an add-on component.[36][37]

Web-enabled

A web-enabled LIMS architecture is essentially a thick-client architecture with an added web browser component. In this setup, the client-side software has additional functionality that allows users to interface with the software through their device's browser. This functionality is typically limited only to certain functions of the web client. The primary advantage of a web-enabled LIMS is the end-user can access data both on the client side and the server side of the configuration. As in a thick-client architecture, updates in the software must be propagated to every client machine. However, the added disadvantages of requiring always-on access to the host server and the need for cross-platform functionality mean that additional overhead costs may arise.[36][37]

Thin-client

The concept of cloud computing is one of the most recent architecture and delivery models to affect LIMS.

A thin-client LIMS is a more modern architecture which offers full application functionality accessed through a device's web browser. The actual LIMS software resides on a server (host) which feeds and processes information without saving it to the user's hard disk. Any necessary changes, upgrades, and other modifications are handled by the entity hosting the server-side LIMS software, meaning all end-users see all changes made. To this end, a true thin-client LIMS will leave no "footprint" on the client's computer, and only the integrity of the web browser need be maintained by the user. The advantages of this system include significantly lower cost of ownership and fewer network and client-side maintenance expenses. However, this architecture has the disadvantage of requiring real-time server access, a need for increased network throughput, and slightly less functionality. A sort of hybrid architecture that incorporates the features of thin-client browser usage with a thick client installation exists in the form of a web-based LIMS.[36][37]

Additionally, maintenance support and warranty (MSW) agreements are usually offered with thin-client installations. Pricing levels are typically based on a percentage of the license fee, with a standard level of service for 10 concurrent users being approximately 10 hours of support and additional customer service at a set per-hour rate. Though some may choose to opt out of an MSW after the first year, it's often more economical to continue the plan in order to receive updates to the LIMS, giving it a longer life span in the laboratory.

Cloud and SaaS

In the early 2010s, LIMS vendors began to rent hosted, thin-client solutions as "software as a service" (SaaS). These cloud-based solutions tended to be less configurable than on-premise solutions and were therefore considered for less demanding implementations such as laboratories with few users and limited sample processing volumes. However, cloud-based software has seen greater adoption as the technology has improved, and configurable LIMS for laboratory operations big and small have become a more realistic option.[6][7][8][9] For example, a June 2022 report published by Astrix Technology found that of life science organizations surveyed, 78 percent of them indicated they have adopted and used or plan to adopt and use cloud-based applications; of all respondents, 43 percent said they are taking a cloud-first or cloud-only approach to its laboratory applications.[8]

Web-based

Arguably one of the most confusing architectures, web-based LIMS architecture is a hybrid of the thick- and thin-client architectures. While much of the client-side work is done through a web browser, the LIMS also requires the additional support of Microsoft's .NET Framework technology installed on the client device. The end result is a process that is apparent to the end-user through the Microsoft-compatible web browser, but perhaps not so apparent as it runs thick-client-like processing in the background. In this case, web-based architecture has the advantage of providing more functionality through a more friendly web interface. The disadvantages of this setup are more sunk costs in system administration and support for Internet Explorer and .NET technologies, and reduced functionality on mobile platforms.[36][37]

The distinction between a LIMS and a LIS

Historically, the LIMS and LIS have exhibited a few key differences, making them noticeably separate entities[38]:

1. A LIMS traditionally has been designed to process and report data related to batches of samples from biology labs, water treatment facilities, drug trials, and other entities that handle complex batches of data. A LIS has been designed primarily for processing and reporting data related to individual patients in a clinical setting.[39][40]

2. A LIMS needs to satisfy good manufacturing practice (GMP) and meet the reporting and audit needs of the U.S. Food and Drug Administration and research scientists in many different industries. A LIS, however, must satisfy the reporting and auditing needs of hospital accreditation agencies, HIPAA, and other clinical medical practitioners.[39]

3. A LIMS is most competitive in group-centric settings (dealing with "batches" and "samples") that often deal with mostly anonymous research-specific laboratory data, whereas a LIS is usually most competitive in patient-centric settings (dealing with "subjects" and "specimens") and clinical labs.[40][41][42]

However, these distinctions began to fade somewhat in the early 2010s as some LIMS vendors began to adopt the case-centric information management normally reserved for a LIS, blurring the lines between the two components further.[42] Thermo Scientific's Clinical LIMS was an example of this merger of LIMS with LIS, with Dave Champagne, informatics vice president and general manager, stating: "Routine molecular diagnostics requires a convergence of the up-to-now separate systems that have managed work in the lab (the LIMS) and the clinic (the LIS). The industry is asking for, and the science is requiring, a single lab-centric solution that delivers patient-centric results."[43] Abbott Informatics Corporation's STARLIMS product was another example of this LIMS/LIS merger.[38] With the distinction between the two entities becoming less clear, discussions within the laboratory informatics community began to includes the question of whether or not the two entities should be considered the same.[44][45] As of 2024, vendors continue to recognize the historical differences between the two products while also continuing to acknowledge that some developed LIMS are taking on more of the clinical aspects usually reserved for a LIS.[46][47][48]

Regulations, standards, and best practices affecting LIMS development and use

A LIMS' development and use is affected by regulations, standards, and best practices such as:

  • 21 CFR Part 11 Electronic records; Electronic signature: Regulated clinical-focused industries, such as medical devices or pharmaceuticals, are expected to comply with U.S. Food and Drug Administration (FDA) regulations like 21 CFR Part 11, which address matters of software validation, data integrity, data retention, audit trails, signed records, and secured access to data. These matters pertain to software systems like LIMS and ELN, as well as other systems employed in modern laboratories.[49][50][51]
  • ASTM E1578 Standard Guide for Laboratory Informatics: This standard is geared towards a variety of stakeholders having some sort of professional interest in laboratory informatics. It intends to educate on and recommend approaches to laboratory software development, acquisition, implementation, and maintenance, including as how they relate to LIMS.[52]
  • Good laboratory practice (GLP): GLP is a quality- and data-driven approach to ensuring the safety, consistency, high quality, and reliability of developed and produced goods. These best practices address a variety of aspects of non-clinical research and manufacturing laboratory workflows, from personnel and equipment to tests and reporting. Some LIMS are developed to help labs better enforce a GLP approach to its operations.[53]
  • ISO 15189 Medical laboratories — Requirements for quality and competence: This standard specifies quality management approaches to clinical laboratory settings. It pulls inspiration from ISO/IEC 17025 while acknowledging the unique characteristics and needs of the clinical lab. The standard's requirements on laboratory need for addressing cybersecurity, system validation, and more apply directly to LIMS development and implementation.[54]
  • ISO/IEC 17025 General requirements for the competence of testing and calibration laboratories: This standard has evolved significantly over the years, today expressing how analytical and calibration labs should best handle quality management through its operations.[55] Like ISO 15189, this standard addresses many activities of these labs and how they should best performed to conform to a high level of quality. A LIMS has many ways to address the needs of a lab attempting to comply with the standard.[35]

See also

Further reading

References

  1. 1.0 1.1 "So what is a LIMS?". Laboratory Information Management. Sapio Sciences. 28 July 2010. Archived from the original on 04 March 2016. https://web.archive.org/web/20160304102056/http://sapiosciences.blogspot.com/2010/07/so-what-is-lims.html. Retrieved 12 March 2024. 
  2. McLelland, A. (1998). "What is a LIMS - a laboratory toy, or a critical IT component?" (PDF). Royal Society of Chemistry. p. 1. Archived from the original on 04 October 2013. https://web.archive.org/web/20131004232754/http://www.rsc.org/pdf/andiv/tech.pdf. Retrieved 12 March 2024. 
  3. 3.0 3.1 3.2 3.3 Gibbon, G.A. (1996). "A brief history of LIMS". Laboratory Automation and Information Management 32 (1): 1–5. doi:10.1016/1381-141X(95)00024-K. 
  4. Nagisetty, P. (2 November 2012). "Is any one aware of a SaaS LIMS success story?". LinkedIn. https://www.linkedin.com/feed/update/urn:li:groupPost:2069898-181604484/. Retrieved 12 March 2024. 
  5. Mullin, R. (24 May 2010). "LIMS in the Cloud". Chemical & Engineering News 88 (21): 12–16. http://cen.acs.org/articles/88/i21/LIMS-Cloud.html. Retrieved 12 March 2024. 
  6. 6.0 6.1 Knippenberg, R. (9 May 2017). "Moving your Lab IT Infrastructure to the Cloud? Consider Nearshoring". Astrix Blog. Astrix Technology Group. Archived from the original on 31 January 2023. https://web.archive.org/web/20230131012812/https://astrixinc.com/moving-lab-infrastructure-cloud-consider-nearshoring/. Retrieved 12 March 2024. 
  7. 7.0 7.1 Joyce, J. (1 May 2017). "What You and Your IT Team Should Know About the Cloud". Lab Manager. LabX Media Group. https://www.labmanager.com/what-you-and-your-it-team-should-know-about-the-cloud-3048. Retrieved 12 March 2024. 
  8. 8.0 8.1 8.2 8.3 8.4 "2022 Laboratory Informatics: Progress Snapshot on Enabling the Digital Lab of the Future" (PDF). Astrix Technology, LLC. June 2022. pp. 18–23. https://astrixinc.com/wp-content/uploads/2022/06/Progress-Snapshot-on-Enabling-the-Digital-Lab-of-the-Future-v4a.pdf. Retrieved 12 March 2024. 
  9. 9.0 9.1 9.2 9.3 Lanewala, M.; Yauger, T.; Jones, L.L. (4 March 2024). "2024 LIMS Trends". Clarkston Consulting Insights. Clarkston Consulting. https://clarkstonconsulting.com/insights/2024-lims-trends/. Retrieved 12 March 2024. 
  10. Davis, Scott; Usansky, Joel; Mitra-Kaushik, Shibani; Kellie, John; Honrine, Kimberly; Woolf, Eric; Adams, Jeb; Kelly, Ryan et al. (1 September 2021). "Cloud solutions for GxP laboratories: considerations for data storage" (in en). Bioanalysis 13 (17): 1313–1321. doi:10.4155/bio-2021-0137. ISSN 1757-6180. https://www.future-science.com/doi/10.4155/bio-2021-0137. 
  11. Blinowski, Grzegorz; Ojdowska, Anna; Przybylek, Adam (2022). "Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation". IEEE Access 10: 20357–20374. doi:10.1109/ACCESS.2022.3152803. ISSN 2169-3536. https://ieeexplore.ieee.org/document/9717259/. 
  12. Liscouski, J. (July 2023). "1. Introduction to LIMS and its acquisition and deployment". In Douglas, S.E.. Justifying LIMS Acquisition and Deployment within Your Organization. LIMSwiki. https://www.limswiki.org/index.php/LII:Justifying_LIMS_Acquisition_and_Deployment_within_Your_Organization/Introduction_to_LIMS_and_its_acquisition_and_deployment. Retrieved 13 March 2024. 
  13. Skobelev, D.O.; Zaytseva, T.M.; Kozlov, A.D. et al. (2011). "Laboratory information management systems in the work of the analytic laboratory". Measurement Techniques 53 (10): 1182–1189. doi:10.1007/s11018-011-9638-7. 
  14. 14.0 14.1 14.2 14.3 14.4 14.5 14.6 Kranjc, Tilen (16 August 2021), Zupancic, Klemen; Pavlek, Tea; Erjavec, Jana, eds., "Introduction to Laboratory Software Solutions and Differences Between Them" (in en), Digital Transformation of the Laboratory (Wiley): 75–84, doi:10.1002/9783527825042.ch3, ISBN 978-3-527-34719-3, https://onlinelibrary.wiley.com/doi/10.1002/9783527825042.ch3. Retrieved 2024-03-12 
  15. Zipp, K. (21 February 2007). "Regulatory compliance drives LIMS". Design World. WTWH Media, LLC. https://www.designworldonline.com/Regulatory-compliance-drives-LIMS/. Retrieved 12 March 2024. 
  16. Boyar, Kyle; Pham, Andrew; Swantek, Shannon; Ward, Gary; Herman, Gary (2021), Opie, Shaun R., ed., "Laboratory Information Management Systems (LIMS)" (in en), Cannabis Laboratory Fundamentals (Cham: Springer International Publishing): 131–151, doi:10.1007/978-3-030-62716-4_7, ISBN 978-3-030-62715-7, http://link.springer.com/10.1007/978-3-030-62716-4_7. Retrieved 2024-03-12 
  17. 17.0 17.1 Famili, Parsa; Cleary, Susan (9 March 2022), Huynh‐Ba, Kim, ed., "Laboratory Information Management System (LIMS) and Electronic Data" (in en), Analytical Testing for the Pharmaceutical GMP Laboratory (Wiley): 345–373, doi:10.1002/9781119680475.ch10, ISBN 978-1-119-12091-9, https://onlinelibrary.wiley.com/doi/10.1002/9781119680475.ch10. Retrieved 2024-03-12 
  18. McDowall, R.D. (2016). "How Can LIMS Help Ensure Data Integrity?". LCGC Europe 29 (6): 310–16. https://www.chromatographyonline.com/view/how-can-lims-help-ensure-data-integrity. Retrieved 12 March 2024. 
  19. John3504 (7 December 2011). "HL7 Interface cost and maintenance". Spiceworks. https://community.spiceworks.com/topic/175107-hl7-interface-cost-and-maintenance. Retrieved 12 March 2024. 
  20. 20.0 20.1 MLO Staff (1 August 2012). "Interfacing the LIS". Medical Laboratory Observer. https://www.mlo-online.com/home/article/13004490/interfacing-the-lis. Retrieved 12 March 2024. 
  21. Duckworth, J.. "IT in the Lab: The Instrument Interface... Revisited". Laboratory Network. https://www.laboratorynetwork.com/doc/it-in-the-lab-the-instrument-interface-revisi-0002. Retrieved 28 February 2024. 
  22. Khan, Masood N.; Findlay, John W. (2009). "11.6 Integration: Tying It All Together". Ligand-Binding Assays: Development, Validation, and Implementation in the Drug Development Arena. John Wiley & Sons. pp. 324. ISBN 0470041382. https://books.google.com/books?id=QzM0LUMfdAkC. Retrieved 21 March 2020. 
  23. 23.0 23.1 "10 Ways LIMS Can Automate Your Lab". CSols, Inc. 9 February 2017. https://www.csolsinc.com/blog/10-ways-lims-can-automate-lab/. Retrieved 12 March 2024. 
  24. 24.0 24.1 24.2 Audino, S. (7 February 2018). "Managing Cannabis Testing Lab Workflows using LIMS". Cannabis Industry Journal. https://cannabisindustryjournal.com/feature_article/managing-cannabis-testing-lab-workflows-using-lims/. Retrieved 12 March 2024. 
  25. 25.0 25.1 Berezin, Casey-Tyler; Aguilera, Luis U.; Billerbeck, Sonja; Bourne, Philip E.; Densmore, Douglas; Freemont, Paul; Gorochowski, Thomas E.; Hernandez, Sarah I. et al. (7 December 2023). Markel, Scott. ed. "Ten simple rules for managing laboratory information" (in en). PLOS Computational Biology 19 (12): e1011652. doi:10.1371/journal.pcbi.1011652. ISSN 1553-7358. PMC PMC10703290. PMID 38060459. https://dx.plos.org/10.1371/journal.pcbi.1011652. 
  26. Rajamani, Sripriya; Kayser, Ann; Emerson, Emily; Solarz, Sarah (21 September 2018). "Evaluation of Data Exchange Process for Interoperability and Impact on Electronic Laboratory Reporting Quality to a State Public Health Agency". Online Journal of Public Health Informatics 10 (2). doi:10.5210/ojphi.v10i2.9317. ISSN 1947-2579. PMC PMC6194099. PMID 30349622. https://journals.uic.edu/ojs/index.php/ojphi/article/view/9317. 
  27. Douglas, S.E. (September 2021). "4. Workflow and information management for COVID-19 (and other respiratory diseases)". COVID-19 Testing, Reporting, and Information Management in the Laboratory (Fall 2021 ed.). LIMSwiki. https://www.limswiki.org/index.php/LII:COVID-19_Testing,_Reporting,_and_Information_Management_in_the_Laboratory/Workflow_and_information_management_for_COVID-19_(and_other_respiratory_diseases). Retrieved 12 March 2024. 
  28. Maxmen, A. (2020). "Thousands of coronavirus tests are going unused in US labs". Nature 580 (7803): 312–13. doi:10.1038/d41586-020-01068-3. PMID 32273619. 
  29. Wood, S. (September 2007). "Comprehensive Laboratory Informatics: A Multilayer Approach" (PDF). American Laboratory. p. 1. Archived from the original on 25 August 2017. https://web.archive.org/web/20170825181932/https://www.it.uu.se/edu/course/homepage/lims/vt12/ComprehensiveLaboratoryInformatics.pdf. Retrieved 12 March 2024. 
  30. "Amazon Relational Database Service (RDS)". Amazon Web Services, Inc. https://aws.amazon.com/rds/. Retrieved 12 March 2024. 
  31. Lardionois, F. (14 February 2017). "Google launches Cloud Spanner, its new globally distributed relational database service". TechCrunch. Oath, Inc. https://techcrunch.com/2017/02/14/google-launches-cloud-spanner-a-new-globally-distributed-database-service/. Retrieved 12 March 2024. 
  32. "ASTM E1578-18 Standard Guide for Laboratory Informatics". ASTM International. 23 August 2019. https://www.astm.org/e1578-18.html. Retrieved 12 March 2024. 
  33. Douglas, S.E. (September 2022). "LIMS Q&A:What are the key elements of a LIMS for food and beverage testing?". LIMSwiki. https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_for_food_and_beverage_testing%3F. Retrieved 12 March 2024. 
  34. Douglas, S.E. (December 2022). "LII:LIMSpec 2022 R2". LIMSwiki. https://www.limswiki.org/index.php/LII:LIMSpec_2022_R2. Retrieved 12 March 2024. 
  35. 35.0 35.1 Douglas, S.E. (January 2023). "LIMS Q&A:What are the key elements of a LIMS to better comply with ISO/IEC 17025?". LIMSwiki. https://www.limswiki.org/index.php/LIMS_Q%26A:What_are_the_key_elements_of_a_LIMS_to_better_comply_with_ISO/IEC_17025%3F. Retrieved 12 March 2024. 
  36. 36.0 36.1 36.2 36.3 O'Leary, K.M. (11 August 2008). "Selecting the Right LIMS: Critiquing technological strengths and limitations". Scientific Computing. Advantage Business Media. Archived from the original on 29 August 2016. https://web.archive.org/web/20160829104930/https://www.scientificcomputing.com/article/2008/08/selecting-right-lims. Retrieved 12 March 2024. 
  37. 37.0 37.1 37.2 37.3 "How Differences in Technology Affect LIMS Functionality, Cost, & ROI" (PDF). LabVantage Solutions, Inc. 2011. pp. 2–3. Archived from the original on 27 February 2014. https://web.archive.org/web/20140227052508/http://www.labvantage.com/resources/pdf/whitepapers/ThinClient1101JY21CYL.pdf. Retrieved 12 March 2024. 
  38. 38.0 38.1 "Adding "Management" to Your LIS". STARLIMS Corporation. 2012. Archived from the original on 28 April 2014. https://web.archive.org/web/20140428060811/http://www.starlims.com/en-us/resources/white-papers/lis-vs-lims/. Retrieved 13 March 2024. 
  39. 39.0 39.1 Friedman, B. (4 November 2008). "LIS vs. LIMS: It's Time to Blend the Two Types of Lab Information Systems". Lab Soft News. http://labsoftnews.typepad.com/lab_soft_news/2008/11/liss-vs-limss-its-time-to-consider-merging-the-two-types-of-systems.html. Retrieved 13 March 2024. 
  40. 40.0 40.1 "LIMS/LIS Market and POCT Supplement". analytica-world.com. 20 February 2004. https://www.analytica-world.com/en/news/35566/lims-lis-market-and-poct-supplement.html. Retrieved 13 March 2024. 
  41. Friedman, B. (19 November 2008). "LIS vs. LIMS: Some New Insights". Lab Soft News. http://labsoftnews.typepad.com/lab_soft_news/2008/11/lis-vs-lims.html. Retrieved 13 March 2024. 
  42. 42.0 42.1 Hice, R. (1 July 2009). "Swimming in the Clinical Pool: Why LIMS are supplanting old-school clinical LIS applications". STARLIMS Corporation. Archived from the original on 13 March 2011. https://web.archive.org/web/20110313145726/http://blog.starlims.com/2009/07/01/swimming-in-the-clinical-pool-why-lims-are-supplanting-old-school-clinical-lis-applications/. Retrieved 13 March 2024. 
  43. Tufel, G. (1 February 2012). "Convergence of LIMS and LIS". Clinical Lab Products. MEDQOR. https://clpmag.com/lab-essentials/information-technology/convergence-of-lims-and-lis/. Retrieved 13 March 2024. 
  44. Jones, J. (March 2012). "What is the difference between a LIS and a LIMS?". LinkedIn. https://www.linkedin.com/feed/update/urn:li:groupPost:2069898-98494737/. Retrieved 13 March 2024. 
  45. Jones, John (September 2012). "Are LIMS and LIS the same thing?". LinkedIn. http://www.linkedin.com/groups/Are-LIMS-LIS-same-thing-2069898.S.147132083. Retrieved 07 November 2012. [dead link]
  46. "FAQ: What is the difference between a LIMS and a medical laboratory quality system?". AgiLab SAS. Archived from the original on 25 March 2019. https://web.archive.org/web/20190325075813/http://agilab.com/faq/. Retrieved 13 March 2024. 
  47. Reisenwitz, C. (11 May 2017). "What Is a Laboratory Information Management System?". Capterra Medical Software Blog. Capterra, Inc. https://www.capterra.com/resources/what-is-a-laboratory-information-management-system/. Retrieved 13 March 2024. 
  48. "LIS vs LIMS: Uncover the Difference & Choose the Right Informatics Solution". CloudLIMS.com, LLC. 12 October 2023. https://cloudlims.com/lims-vs-lis/. Retrieved 13 March 2024. 
  49. "CFR - Code of Federal Regulations Title 21, Part 11 Electronic Records; Electronic Signatures". U.S. Food and Drug Administration. 22 December 2023. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfCFR/CFRSearch.cfm?CFRPart=11&showFR=1. Retrieved 12 March 2024. 
  50. R&D Editors (10 May 2012). "A Quick Guide to ELN Regulatory Requirements". R&D World. https://www.rdworldonline.com/a-quick-guide-to-eln-regulatory-requirements/. Retrieved 12 March 2024. 
  51. "Whitepaper: FDA's 21 CFR Part 11" (PDF). Labforward GmbH. January 2020. https://labfolder.com/wp-content/uploads/2020/01/Labfolder-CFR21-Part11-Whitepaper.docx-2.pdf. Retrieved 12 March 2024. 
  52. "ASTM E1578-18 Standard Guide for Laboratory Informatics". ASTM International. 23 August 2019. https://www.astm.org/e1578-18.html. Retrieved 13 March 2024. 
  53. Elzagheid, Mohamed, ed. (2023). Chemical technicians: good laboratory practice and laboratory information management systems. De Gruyter Textbook (1st ed.). Boston: De Gruyter. ISBN 978-3-11-119110-2. 
  54. Ilinca, Radu; Chiriac, Ionuț A.; Luțescu, Dan A.; Ganea, Ionela; Hristodorescu-Grigore, Smaranda; Dănciulescu-Miulescu, Rucsandra-Elena (1 April 2023). "Understanding the key differences between ISO 15189:2022 and ISO 15189:2012 for an improved medical laboratory quality of service" (in en). Revista Romana de Medicina de Laborator 31 (2): 77–82. doi:10.2478/rrlm-2023-0011. ISSN 2284-5623. https://www.sciendo.com/article/10.2478/rrlm-2023-0011. 
  55. Miguel, Anna; Moreira, Renata; Oliveira, André (2021). "ISO/IEC 17025: History and introduction of concepts". Química Nova. doi:10.21577/0100-4042.20170726. http://quimicanova.sbq.org.br/audiencia_pdf.asp?aid2=9279&nomeArquivo=AG2020-0467.pdf.