Difference between revisions of "Template:Article of the week"

From LIMSWiki
Jump to navigationJump to search
(Updated article of the week text.)
(Updated article of the week text.)
Line 1: Line 1:
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 Dixon BMJHealthCareInfo2020 27-1.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Cicek FrontPubHealth2020 8.jpg|240px]]</div>
'''"[[Journal:Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)|Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)]]"'''
'''"[[Journal:Mini-review of laboratory operations in biobanking: Building biobanking resources for translational research|Mini-review of laboratory operations in biobanking: Building biobanking resources for translational research]]"'''


As the health system seeks to leverage large-scale data to inform population outcomes, the [[Informatics (academic field)|informatics]] community is developing tools for analyzing these data. To support [[data quality]] assessment within such a tool, we extended the open-source software Observational Health Data Sciences and Informatics (OHDSI) to incorporate new functions useful for population health. We developed and tested methods to measure the completeness, timeliness, and entropy of [[information]]. The new data quality methods were applied to over 100 million clinical messages received from emergency department information systems for use in [[Public health informatics|public health syndromic surveillance systems]]. ('''[[Journal:Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)|Full article...]]''')<br />
[[Biobank]]s have become integral to improving [[Public health|population health]]. We are in a new era in medicine as patients, health professionals, and researchers increasingly collaborate to gain new knowledge and explore new paradigms for diagnosing and treating disease. Many large-scale biobanking efforts are underway worldwide at the institutional, national, and even international level. When linked with subject data from questionnaires and medical records, biobanks serve as valuable resources in [[translational research]]. A biobank must have high-quality biospecimens that meet researcher's needs. Biobank [[laboratory]] operations require an enormous amount of support, from lab and storage space, information technology expertise, and a [[laboratory information management system]] to logistics for biospecimen tracking, [[quality management system]]s, and appropriate facilities. ('''[[Journal:Mini-review of laboratory operations in biobanking: Building biobanking resources for translational research|Full article...]]''')<br />
<br />
<br />
''Recently featured'':
''Recently featured'':
: ▪ [[Journal:Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)|Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)]]
: ▪ [[Journal:Advancing laboratory medicine in hospitals through health information exchange: A survey of specialist physicians in Canada|Advancing laboratory medicine in hospitals through health information exchange: A survey of specialist physicians in Canada]]
: ▪ [[Journal:Advancing laboratory medicine in hospitals through health information exchange: A survey of specialist physicians in Canada|Advancing laboratory medicine in hospitals through health information exchange: A survey of specialist physicians in Canada]]
: ▪ [[Journal:A high-throughput method for the comprehensive analysis of terpenes and terpenoids in medicinal cannabis biomass|A high-throughput method for the comprehensive analysis of terpenes and terpenoids in medicinal cannabis biomass]]
: ▪ [[Journal:A high-throughput method for the comprehensive analysis of terpenes and terpenoids in medicinal cannabis biomass|A high-throughput method for the comprehensive analysis of terpenes and terpenoids in medicinal cannabis biomass]]
: ▪ [[Journal:Existing data sources in clinical epidemiology: Laboratory information system databases in Denmark|Existing data sources in clinical epidemiology: Laboratory information system databases in Denmark]]

Revision as of 13:37, 5 September 2021

Fig1 Cicek FrontPubHealth2020 8.jpg

"Mini-review of laboratory operations in biobanking: Building biobanking resources for translational research"

Biobanks have become integral to improving population health. We are in a new era in medicine as patients, health professionals, and researchers increasingly collaborate to gain new knowledge and explore new paradigms for diagnosing and treating disease. Many large-scale biobanking efforts are underway worldwide at the institutional, national, and even international level. When linked with subject data from questionnaires and medical records, biobanks serve as valuable resources in translational research. A biobank must have high-quality biospecimens that meet researcher's needs. Biobank laboratory operations require an enormous amount of support, from lab and storage space, information technology expertise, and a laboratory information management system to logistics for biospecimen tracking, quality management systems, and appropriate facilities. (Full article...)

Recently featured:

Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)
Advancing laboratory medicine in hospitals through health information exchange: A survey of specialist physicians in Canada
A high-throughput method for the comprehensive analysis of terpenes and terpenoids in medicinal cannabis biomass