TY - JOUR
T1 - Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States
T2 - A perspective from 15 academic medical centers
AU - Madhavan, Subha
AU - Bastarache, Lisa
AU - Brown, Jeffrey S.
AU - Butte, Atul J.
AU - Dorr, David A.
AU - Embi, Peter J.
AU - Friedman, Charles P.
AU - Johnson, Kevin B.
AU - Moore, Jason H.
AU - Kohane, Isaac S.
AU - Payne, Philip R.O.
AU - Tenenbaum, Jessica D.
AU - Weiner, Mark G.
AU - Wilcox, Adam B.
AU - Ohno-Machado, Lucila
N1 - Publisher Copyright:
© 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - Our goal is to summarize the collective experience of 15 organizations in dealing with uncoordinated efforts that result in unnecessary delays in understanding, predicting, preparing for, containing, and mitigating the COVID-19 pandemic in the US. Response efforts involve the collection and analysis of data corresponding to healthcare organizations, public health departments, socioeconomic indicators, as well as additional signals collected directly from individuals and communities. We focused on electronic health record (EHR) data, since EHRs can be leveraged and scaled to improve clinical care, research, and to inform public health decision-making. We outline the current challenges in the data ecosystem and the technology infrastructure that are relevant to COVID-19, as witnessed in our 15 institutions. The infrastructure includes registries and clinical data networks to support population-level analyses.
AB - Our goal is to summarize the collective experience of 15 organizations in dealing with uncoordinated efforts that result in unnecessary delays in understanding, predicting, preparing for, containing, and mitigating the COVID-19 pandemic in the US. Response efforts involve the collection and analysis of data corresponding to healthcare organizations, public health departments, socioeconomic indicators, as well as additional signals collected directly from individuals and communities. We focused on electronic health record (EHR) data, since EHRs can be leveraged and scaled to improve clinical care, research, and to inform public health decision-making. We outline the current challenges in the data ecosystem and the technology infrastructure that are relevant to COVID-19, as witnessed in our 15 institutions. The infrastructure includes registries and clinical data networks to support population-level analyses.
KW - Covid-19
KW - Data network
KW - Ehr
KW - Policy
KW - Public health
UR - http://www.scopus.com/inward/record.url?scp=85102153439&partnerID=8YFLogxK
U2 - 10.1093/jamia/ocaa287
DO - 10.1093/jamia/ocaa287
M3 - Review article
C2 - 33260207
AN - SCOPUS:85102153439
SN - 1067-5027
VL - 28
SP - 393
EP - 401
JO - Journal of the American Medical Informatics Association
JF - Journal of the American Medical Informatics Association
IS - 2
ER -