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Leveraging the Electronic Health Record to Address the COVID-19 Pandemic
- Source :
- Mayo Clinic Proceedings
- Publication Year :
- 2021
- Publisher :
- Mayo Foundation for Medical Education and Research, 2021.
-
Abstract
- The coronavirus disease 2019 (COVID-19) pandemic continues its global spread. Coordinated effort on a vast scale is required to halt its progression and to save lives. Electronic health record (EHR) data are a valuable resource to mitigate the COVID-19 pandemic. We review how the EHR could be used for disease surveillance and contact tracing. When linked to "omics" data, the EHR could facilitate identification of genetic susceptibility variants, leading to insights into risk factors, disease complications, and drug repurposing. Real-time monitoring of patients could enable early detection of potential complications, informing appropriate interventions and therapy. We reviewed relevant articles from PubMed, MEDLINE, and Google Scholar searches as well as preprint servers, given the rapidly evolving understanding of the COVID-19 pandemic.
- Subjects :
- SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus-2
Psychological intervention
MEDLINE
EHR, Electronic health record
ACE2, Angiotensin-converting enzyme-2
Disease
Review
030204 cardiovascular system & hematology
03 medical and health sciences
0302 clinical medicine
Resource (project management)
Pandemic
medicine
Electronic Health Records
Humans
IFN, interferon
030212 general & internal medicine
TMPRSS2, Transmembrane protease, serine 2
Disease surveillance
COVID-19, Coronavirus disease 2019
SARS-CoV-2
business.industry
Drug Repositioning
COVID-19
General Medicine
medicine.disease
eMERGE, electronic Medical Records and Genomics
Epidemiological Monitoring
CRP, C-reactive protein
UK, United Kingdom
Medical emergency
Contact Tracing
business
Contact tracing
GWAS, Genome-wide association study
Subjects
Details
- Language :
- English
- ISSN :
- 19425546 and 00256196
- Database :
- OpenAIRE
- Journal :
- Mayo Clinic Proceedings
- Accession number :
- edsair.doi.dedup.....5603cb7d73660b8dab929a0e5025ea36