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

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'''"[[Journal:Design and refinement of a data quality assessment workflow for a large pediatric research network|Design and refinement of a data quality assessment workflow for a large pediatric research network]]"'''
'''"[[Journal:Laboratory testing for coronavirus disease (COVID-19) in suspected human cases|Laboratory testing for coronavirus disease (COVID-19) in suspected human cases]]"'''


Clinical data research networks (CDRNs) aggregate [[electronic health record]] (EHR) data from multiple hospitals to enable large-scale research. A critical operation toward building a CDRN is conducting continual evaluations to optimize [[wikipedia:Data quality|data quality]]. The key challenges include determining the assessment coverage on big datasets, handling data variability over time, and facilitating communication with data teams. This study presents the evolution of a systematic workflow for data quality assessment in CDRNs.
This document provides interim guidance to [[Laboratory|laboratories]] and stakeholders involved in [[COVID-19]] virus laboratory testing of patients. It is based in part on the interim guidance on laboratory testing for [[Middle East respiratory syndrome]] (MERS) coronavirus. [[Information]] on human [[infection]] with the COVID-19 virus is evolving and the [[World Health Organization]] (WHO) continues to monitor developments and revise recommendations as necessary. This document will be revised as new information becomes available. Feedback is welcome and can be sent to WHElab@who.int. The virus has now been named SARS-CoV-2 by the International Committee of Taxonomy of Viruses (ICTV)(2). This virus can cause the disease named coronavirus disease 2019 (COVID-19). WHO refers to the virus as COVID-19 virus in its current documentation. ('''[[Journal:A security review of local government using NIST CSF: A case study|Full article...]]''')<br />
 
Using a specific CDRN as a use case, a workflow was iteratively developed and packaged into a toolkit. The resultant toolkit comprises 685 data quality checks to identify any data quality issues, procedures to reconciliate with a history of known issues, and a contemporary GitHub-based reporting mechanism for organized tracking.
 
During the first two years of network development, the toolkit assisted in discovering over 800 data characteristics and resolving over 1400 programming errors. Longitudinal analysis indicated that the variability in time to resolution (15day mean, 24day IQR) is due to the underlying cause of the issue, perceived importance of the domain, and the complexity of assessment. ('''[[Journal:Design and refinement of a data quality assessment workflow for a large pediatric research network|Full article...]]''')<br />
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Revision as of 15:46, 23 March 2020

Anx1 WHO 2020 2020.5.png

"Laboratory testing for coronavirus disease (COVID-19) in suspected human cases"

This document provides interim guidance to laboratories and stakeholders involved in COVID-19 virus laboratory testing of patients. It is based in part on the interim guidance on laboratory testing for Middle East respiratory syndrome (MERS) coronavirus. Information on human infection with the COVID-19 virus is evolving and the World Health Organization (WHO) continues to monitor developments and revise recommendations as necessary. This document will be revised as new information becomes available. Feedback is welcome and can be sent to WHElab@who.int. The virus has now been named SARS-CoV-2 by the International Committee of Taxonomy of Viruses (ICTV)(2). This virus can cause the disease named coronavirus disease 2019 (COVID-19). WHO refers to the virus as COVID-19 virus in its current documentation. (Full article...)

Recently featured:

▪ One tool to find them all: A case of data integration and querying in a distributed LIMS platform
▪ What is the "source" of open-source hardware?
▪ From command-line bioinformatics to bioGUI
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