Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers

Author:

Madhavan Subha1,Bastarache Lisa2,Brown Jeffrey S3ORCID,Butte Atul J4,Dorr David A5,Embi Peter J6,Friedman Charles P7,Johnson Kevin B2,Moore Jason H8,Kohane Isaac S9,Payne Philip R O10,Tenenbaum Jessica D1112,Weiner Mark G13ORCID,Wilcox Adam B14,Ohno-Machado Lucila1516

Affiliation:

1. Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, USA

2. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA

3. Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA

4. University of California Health System (UC Health), University of California, San Francisco, California, USA

5. Departments of Medical Informatics and Clinical Epidemiology and Medicine, Oregon Health and Science University, Portland, Oregon, USA

6. Indiana University School of Medicine, Regenstrief Institute, Inc, Indianapolis, Indiana, USA

7. Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA

8. Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA

9. Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA

10. Institute for Informatics, Washington University in St. Louis, School of Medicine, St. Louis, Missouri, USA

11. North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA

12. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA

13. Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA

14. Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA

15. Department of Biomedical Informatics, University of California San Diego Health, La Jolla, California, USA

16. Division of Health Services Research & Development, VA San Diego Healthcare System, San Diego, California, USA

Abstract

Abstract 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. We propose a specific set of strategic next steps to increase interoperability, overall organization, and efficiencies

Funder

Georgetown University

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

Reference26 articles.

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2. Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic;Holmgren;J Am Med Inform Assoc,2020

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