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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.
Madhavan, Subha; Bastarache, Lisa; Brown, Jeffrey S; Butte, Atul J; Dorr, David A; Embi, Peter J; Friedman, Charles P; Johnson, Kevin B; Moore, Jason H; Kohane, Isaac S; Payne, Philip R O; Tenenbaum, Jessica D; Weiner, Mark G; Wilcox, Adam B; Ohno-Machado, Lucila.
  • Madhavan S; Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, USA.
  • Bastarache L; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Brown JS; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.
  • Butte AJ; University of California Health System (UC Health), University of California, San Francisco, California, USA.
  • Dorr DA; Departments of Medical Informatics and Clinical Epidemiology and Medicine, Oregon Health and Science University, Portland, Oregon, USA.
  • Embi PJ; Indiana University School of Medicine, Regenstrief Institute, Inc, Indianapolis, Indiana, USA.
  • Friedman CP; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
  • Johnson KB; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Moore JH; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
  • Payne PRO; Institute for Informatics, Washington University in St. Louis, School of Medicine, St. Louis, Missouri, USA.
  • Tenenbaum JD; North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA.
  • Weiner MG; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
  • Wilcox AB; Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
  • Ohno-Machado L; Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
J Am Med Inform Assoc ; 28(2): 393-401, 2021 02 15.
Article in English | MEDLINE | ID: covidwho-1054313
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Information Systems / Public Health Practice / Information Dissemination / Electronic Health Records / COVID-19 Type of study: Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia

Full text: Available Collection: International databases Database: MEDLINE Main subject: Information Systems / Public Health Practice / Information Dissemination / Electronic Health Records / COVID-19 Type of study: Prognostic study Limits: Humans Country/Region as subject: North America Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia