LIMS feature

From LIMSWiki
Revision as of 23:34, 17 February 2012 by Shawndouglas (talk | contribs) (Added Excel info.)
Jump to navigationJump to search

A LIMS feature is one or more pieces of functionality that appear within a laboratory information management system (LIMS).

The LIMS is an evolving concept, with new features and abilities being introduced every year. As laboratory demands change and technological progress continues, the functions of a LIMS will also change. Yet like the automobile, the 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[1]:

  • 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
  • the inspection, approval, and compilation of the sample data for reporting and/or further analysis

Of course, there are LIMS features that are difficult to categorize under any of these phases. Such features often contribute to the entire LIMS and how it's utilized. For example, multilingual support appears in LIMS like Assaynet Inc.'s LIMS2010 and Two Fold Software's Qualoupe LIMS, allowing users to interact with the LIMS in more than one language. Some functionality may also overlap several laboratory phases, making it difficult to firmly classify.

The features described below come from an analysis of freely available LIMS product information on vendor websites. An attempt was made to discover the features most utilized in vendors' LIMS products and collect information on those features for each LIMS. Not every possible feature is referenced here; some LIMS products fill specific niches, utilizing very unique functionality to solve a specific problem.

That said, keep in mind the categorization of features below is very loose. It may be viable to argue a feature belongs under a different section or multiple sections. For the purposes of organizing this information in an uncomplicated manner, however, some liberty has been taken in the categorizing of features.

Sample, inventory, and data management

To hide the contents of this section for easier reading of other sections, click the "Collapse" link to the right.

 

Sample login and management

Sample management is one of the core functions a modern LIMS is tasked with, whether it's in a manufacturing, water treatment, or pharmaceutical laboratory.[2] As such, researchers who work in these types of labs are unable to complete their experiment-based goals without an effective method of managing samples. The process of sample management for experiments includes, but is not limited to[2]:

  • storing related sample information, including aliquot numbers, dates, and external links
  • setting user alerts for sample status
  • creating and documenting viewable sample container schemas with name and status
  • assigning sample access rights

Additional functionality that could potentially fall under this feature:

  • utilizing a unique ID system
  • barcoding of samples
  • defining sample points and series
  • creating data associations for samples
  • issuing sample receipts

Sample tracking

For most laboratory personnel, knowing that a sample has arrived to the lab isn't good enough; they need to know where it's located and what is being done with it. Enter the sample tracking feature. Without it, many problems arise. In the forensic world, for example, many samples are linked to a criminal investigation. In this case, misidentification, contamination, or duplication can become significant issues: a lost sample is essentially missing evidence, while a duplicated sample can render it useless as evidence.[3]

After sample reception and its initial handling procedures, many LIMS can then track sample location as well as chain of custody. 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. The process of tracking a sample has become more streamlined with increasing support of 2-D barcode technology. While handwritten labels were the norm, now barcode support in a LIMS can "tie together a vast amount of information, clearly relating each sample to a specific case."[3] Other event tracking such as freeze and thaw cycles that a sample undergoes in the laboratory may also be required. As each laboratory's needs for tracking additional data points can vary widely, many modern LIMS have implemented extensive configurability to compensate for varying environments.[4]

Sample and result batching

What is batching? The United States Environmental Protection Agency (EPA) defines a batch as "a group of samples which behave similarly with respect to the sampling or testing procedures being employed and which are processed as a unit."[5] This definition can be applied to many laboratories which handle large quantities of samples for some form of analysis or processing. A LIMS that has the ability to check in, link, and track groups of samples across one or multiple facilities is valuable to such laboratories. Additionally, batching the analysis results of multiple samples or groups of samples gives laboratories more flexibility with how they manage their data.

Task and event scheduling

Within the context of a LIMS, the ability to schedule a task or event is a natural extension of how work was done in a laboratory before the advent of data management systems. Workloads are assigned to technicians, maintenance schedules are created and followed, and research deadlines must be observed. While these tasks have in the past been performed without LIMS, a modern data management system can now optimize those tasks and provide additional scheduling functionality to streamline the operation of a lab. Autoscribe Ltd., for example, offers a scheduling module for its LIMS that allows users to automatically schedule multiple jobs, data backups, alarms, and reports.[6] Some LIMS like LabWare, Inc.'s LabWare LIMS offer multiple types of schedulers that match to the particular functions of a research laboratory.[7]

Examples of tasks and events that can feasibly be scheduled in a LIMS include:

  • registration of received samples into the system
  • production of reports
  • creation and sending of e-mails and alerts
  • maintenance of equipment
  • assignment of workloads to personnel

Option for manual result entry

While many LIMS vendors tout the ability of their product to automate the entry of results into the LIMS database, the need for manual data entry of analysis results still exists. This feature is important to laboratories obtaining analysis results from multiple sources, including non-digital paper-based results and instruments that can't be connected to the LIMS.

Multiple data viewing methods

Laboratories produce data, and LIMS exist to help manage that data. Additionally, even before the existence of LIMS, scientists have had a corresponding need for visually representing data. Today a LIMS can not only collect and analyze data from samples, but it also can represent that data in reports, graphs, gradients, and spreadsheets. Depending on the LIMS, more than one way to visually represent the data may exist.

Some laboratory information management systems take a very specialized approach to data views. For example, Biomatters Ltd.'s Geneious and Geneious Pro offer multiple methods of viewing complicated sequence analysis data, including 3-D structuring and representations of plasmid vectors.[8]

Data and trend analysis

Data analysis plays an important part of laboratory informatics, helping laboratories make better sense of their experiments and reach valuable conclusions about them. While this important phase of laboratory work has often been done externally from the LIMS, it's now more common to see basic analysis tools being included. Such tools allow raw data to be imported directly to the LIMS, which then can store, process, and report information about it.

As with the feature "multiple data viewing methods," data and trend analysis is also increasingly important in laboratories that have very specialized data management needs. When even in 2009 genetic scientists in large- and medium-sized sequencing and core centers were voicing concerns about "a lack of adequate vendor-supported software and laboratory information management systems (LIMS),"[9], today data management options like the previously mentioned Geneious Pro are starting to emerge, offering the ability to perform specialized analytical tasks for the sequencing industry.[8] As data and trend analysis is an important part of most if not all laboratories, such functionality — which has often come in the form of a separate application or analysis device — will likely continue to merge into LIMS and other data management solutions.

Data and equipment sharing

Aside from data storage and sample registration, a modern LIMS' major contribution to the laboratory is aiding in the sharing of experiment results, reports, and other data types with those who need it most. Rather than pieces of information becoming misplaced or forgotten in laboratory notebooks, the LIMS makes it easier to share sample test results and increase the efficiency of collaboration inside and outside the laboratory. Yet data is more than just sample test results; it also can come in the form of charts, reports, policy and procedure, and other documents. Additionally, the need for controlling who has access to those types of data is also an important consideration. As such, this feature is at least partially tied to other features like document management and configurable security.

Customizable fields and/or interface

As thorough as some user interface (UI) developers may be in adding relevant fields and interface options for LIMS end users, there are at times options that are either omitted or unanticipated. This has traditionally required the end user to contact the vendor and ask if the needed option(s) can be added in the next release. However, some modern LIMS vendors have responded instead by adding functionality that gives end users and/or LIMS administrators more control over the user interface.

Aspects of the LIMS' user interface that are becoming more customizable by the end user include:[10][11][12]

  • system nomenclature
  • equations used in calculations
  • data fields
  • appearance of the interface and/or menus
  • primary system language

Query capability

As was the case before the advent of databases and electronic data management solutions, today researchers must search through sample results, experiment notes, and other types of data to better draw conclusions about their research. Whereas this used to mean browsing through laboratory notebooks, Excel spreadsheets, or Access databases, now powerful query tools exists within data management tools like a LIMS. Not only can data be searched for based on name, number, or vendor, LIMSs like eBioSys' eLab and Mountain States Consulting's MSC-LIMS allow for queries of attached meta-data like user ID, project number, task number, sample type, location, and collection date.[13][14]

Import data

Data can originate from numerous places in the laboratory. The ability to import that data into a LIMS can be beneficial, especially when an instrument can't be connected or an external client provides a data feed independent of the LIMS. Some LIMS like Bridge-Soft's QMS even allow to cross-reference laboratory nomenclature from received data sources with the recipient's.[15] And of course instrument interfacing allows for even more importation options. Additional data validation procedures may be applied to the imported data to guarantee information homogeneity.

Internal file or data linking

This feature allows LIMS users to link together reports, protocols, sample results, and more, providing greater contextual clarity to projects. Examples include:

  • linking a sample batch to a test or sample preparation methodology
  • linking a test process to a particular customer
  • linking a report to a sample batch
  • linking a group of test results to a raw data file
  • linking an image to a work order

External file or data linking

This feature allows LIMS users to link together data and files in the LIMS with data, files, and customers outside the scope of the LIMS. Examples include:

  • linking data files from chromatography equipment to synthesis data[16]
  • linking equipment ID with an external annotation database[17]
  • linking external standard operating procedure documents with an internal test specification[18]

ELN support or integration

As a software replacement for more traditional paper laboratory notebooks, the electronic laboratory notebook (ELN) has been important to laboratory functions. Yet the lines between ELN and LIMS began to blur in the 2000s, with both types of software incorporating features from the other.[19] The result today is some LIMS either include traditional ELN functionality or link physical laboratory notebook references to data in the LIMS.[20]

Export to MS Excel

While Microsoft Excel has long been used within the laboratory setting, a slow shift towards relational databases and LIMS occurred in the late 1990s and early 2000s.[21] Additional concerns with the difficulties of Excel's validation and compliance with FDA 21 CFR Part 11 and other regulations have led many labs to turn to data management solutions that are easier to validate.[22] Nevertheless, laboratories continue to use Excel in some fashion, and thus Excel integration or data exportation in Excel format is a real need for LIMS customers. LIMS with this feature allow raw, processed, or imported data to be exported in the Excel format for further analysis and dissemination.

Export raw data

Data warehouse

Deadline control

Production control

Project and/or task management

Inventory management

Document creation and management

Case management

Workflow management

Specification management

Customer management

Billing management

 

Quality, security, and compliance

To hide the contents of this section for easier reading of other sections, click the "Collapse" link to the right.

 

Regulatory compliance

QA/QC functions

Performance evaluation

Audit trail

Chain of custody

Configurable roles and security

Data validation

Data encryption

Version control

Automatic data backup

Environmental monitoring

 

Reporting, barcoding, and printing

To hide the contents of this section for easier reading of other sections, click the "Collapse" link to the right.

 

Custom reporting

Report printing

Label support

Barcode support

Export to PDF

Export to MS Word

Export to HTML or XML

Fax integration

Email integration

 

Base functionality

To hide the contents of this section for easier reading of other sections, click the "Collapse" link to the right.

 

Administrator management

Modular

Instrument interfacing and management

Mobile device integration

Alarms and/or alerts

Work-related time tracking

Voice recognition system

External monitoring

Messaging

Multilingual

Network capable

Web client or portal

Online or integrated help

Software as a service delivery model

Usage-based cost

 

References

  1. Skobelev, D.O.; T.M. Zaytseva; A.D. Kozlov; V.L. Perepelitsa; A.S. Makarova (2011). "Laboratory information management systems in the work of the analytic laboratory" (PDF). Measurement Techniques 53 (10): 1182–1189. doi:10.1007/s11018-011-9638-7. http://www.springerlink.com/content/6564211m773v70j1/. 
  2. 2.0 2.1 Macneil, Rory (2011). "The benefits of integrated systems for managing both samples and experimental data: An opportunity for labs in universities and government research institutions to lead the way". Automated Experimentation 3 (2). doi:10.1186/1759-4499-3-2. http://www.aejournal.net/content/3/1/2. 
  3. 3.0 3.1 Murthy, Tal; Brian Hewson (1 September 2010). "Effective Forensic Sample Tracking and Handling". American Laboratory. http://new.americanlaboratory.com/914-Application-Notes/506-Effective-Forensic-Sample-Tracking-and-Handling/. Retrieved 10 February 2012. 
  4. Muntean, Edwarda; Nicoleta Munteanb; Tania Mihăiescua; Radu Mihăiescuc (2008). "LIMS use in laboratory data management". ProEnvironment/Promediu 1 (2): 19–23. http://proenvironment.ro/promediu/article/view/2835. 
  5. "Batch Sizes And QC Questions". U.S. EPA. 27 July 2011. http://www.epa.gov/osw/hazard/testmethods/faq/faqs_qc.htm. Retrieved 11 February 2012. 
  6. "Matrix Gemini - Scheduler". Autoscribe Ltd.. http://www.autoscribe.co.uk/matrix-gemini/additional-modules/scheduler. Retrieved 11 February 2012. 
  7. "LabWare LIMS - Scheduler". LabWare Inc.. http://www.labware.com/LWWeb.nsf/lp/en040102. Retrieved 11 February 2012. 
  8. 8.0 8.1
  9. Richter, Brent G.; David P. Sexton (2009). "Managing and Analyzing Next-Generation Sequence Data". PLoS Computational Biology 5 (6). doi:10.1371/journal.pcbi.1000369. http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000369. 
  10. Elliot, Michael H. (December 2006–January 2007). "The state of the ELN Market". Scientific Computing World. http://www.scientific-computing.com/features/feature.php?feature_id=50. Retrieved 04 May 2011. 
  11. Williams, Robert W. (2003). "Managing Your Lab Data Flux: Getting Beyond Excel" (PDF). The Bioinformatics of Brains: From Genes and Proteins to Behaviors. Washington, DC: Society for Neuroscience. http://www.sfn.org/skins/main/pdf/ShortCourses/2003/sc1_9.pdf. Retrieved 17 February 2012. 
  12. Howard, David A.; David Harrison (2007). "A Pragmatic Approach to the Validation of Excel Spreadsheets – Overview" (PDF). Pharma IT 1 (2): 30–35. http://www.spreadsheetvalidation.com/pdf/Excel_Spreadsheet_Validation_Overview.pdf.