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:Fig1 Raymond BMCMedInfoDecMak2020 20.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 Dixon BMJHealthCareInfo2020 27-1.png|240px]]</div>
'''"[[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: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)]]"'''


[[Laboratory]] testing occupies a prominent place in healthcare. Information technology systems have the potential to empower laboratory experts and to enhance the interpretation of test results in order to better support physicians in their quest for better and safer patient care. This study sought to develop a better understanding of which laboratory information exchange (LIE) systems and features specialist physicians are using in [[hospital]] settings to consult their patients’ laboratory test results, and what benefit they derive from such use. As part of a broader research program on the use of [[health information exchange]] systems for laboratory medicine in Quebec, Canada, this study was designed as on online survey. Our sample is composed of 566 specialist physicians working in hospital settings, out of the 1,512 physicians who responded to the survey (response rate of 17%). Respondents are representative of the targeted population of specialist physicians in terms of gender, age, and hospital location. ('''[[Journal:Advancing laboratory medicine in hospitals through health information exchange: A survey of specialist physicians in Canada|Full article...]]''')<br />
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 />
<br />
<br />
''Recently featured'':
''Recently featured'':
: ▪ [[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]]
: ▪ [[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]]
: ▪ [[Journal:HEnRY: A DZIF LIMS tool for the collection and documentation of biospecimens in multicentre studies|HEnRY: A DZIF LIMS tool for the collection and documentation of biospecimens in multicentre studies]]

Revision as of 16:09, 31 August 2021

Fig3 Dixon BMJHealthCareInfo2020 27-1.png

"Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)"

As the health system seeks to leverage large-scale data to inform population outcomes, the 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 syndromic surveillance systems. (Full article...)

Recently featured:

▪ 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
▪ Existing data sources in clinical epidemiology: Laboratory information system databases in Denmark
Retrieved from "https://www.limswiki.org/index.php?title=Template:Article_of_the_week&oldid=43842"