Unveiling the silent threat among us: leveraging health information technology in the search for asymptomatic COVID 19 healthcare workers

Autor:	James M Schmitt, Josanne Revoir, Seth D Carlson, Ann Marie Matlock, Daniel Lonnerdal, Chung-Hee Row, Adrian M. Zelazny, Karen M. Frank, Jon W. McKeeby, Maria D Joyce, Mike Krumlauf, Tony Barnes, Christopher M Siwy, Patricia S Coffey, Heike Bailin, Danielle Smith, Mary Sparks, Laura M Lee, Yenshei Liu
Rok vydání:	2020
Předmět:	Coronavirus disease 2019 (COVID-19) AcademicSubjects/SCI01060 Health information technology Health Personnel Health Informatics Case Report 030204 cardiovascular system & hematology Asymptomatic 03 medical and health sciences 0302 clinical medicine COVID-19 Testing Pandemic Health care medicine Electronic Health Records Humans Public Health Surveillance 030212 general & internal medicine Medical Informatics Applications AcademicSubjects/MED00580 Focus (computing) Internet interdisciplinary team business.industry healthcare workers COVID-19 electronic health record medicine.disease United States National Institutes of Health (U.S.) Asymptomatic Diseases software development Medical emergency medicine.symptom AcademicSubjects/SCI01530 business COVID 19 asymptomatic testing Software
Zdroj:	Journal of the American Medical Informatics Association : JAMIA Journal of the American Medical Informatics Association
ISSN:	1527-974X
Popis:	Assuring the safety of both patients and healthcare workers (HCWs) in hospitals has been the primary focus of every healthcare organization during the COVID 19 pandemic. This article discusses the NIH Clinical Center’s interdisciplinary approach to deploying an organizational Asymptomatic Staff Testing System.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5634ce36119b487baca5e7df0e1583da https://pubmed.ncbi.nlm.nih.gov/33165614 Zobrazit plný text záznamu