Evidence map›Paper›PMID 33260207›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

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.

Subha Madhavan, Lisa Bastarache, Jeffrey S Brown, Atul J Butte, David A Dorr, Peter J Embi, Charles P Friedman, Kevin B Johnson, Jason H Moore, Isaac S Kohane and 5 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Development and early implementation of automated audit and feedback monitoring instruments in Belgian primary care: lessons for scalable systems.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    Article
  4. Article
  5. Observational
  6. Article
  7. Association of Polypharmacy and Burden of Comorbidities on COVID-19 Adverse Outcomes in People with Type 1 or Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Collaborating for COVID-19: Hospital Health Information Exchange and Public Health Partnership.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Geospatial divide in real-world EHR data: Analytical workflow to assess regional biases and potential impact on health equity.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Subha MadhavanInnovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC, USA.
Lisa BastaracheDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jeffrey S BrownDepartment of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, Massachusetts, USA.
Atul J ButteUniversity of California Health System (UC Health), University of California, San Francisco, California, USA.
David A DorrDepartments of Medical Informatics and Clinical Epidemiology and Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Peter J EmbiIndiana University School of Medicine, Regenstrief Institute, Inc, Indianapolis, Indiana, USA.
Charles P FriedmanDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
Kevin B JohnsonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jason H MooreInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Philip R O PayneInstitute for Informatics, Washington University in St. Louis, School of Medicine, St. Louis, Missouri, USA.
Jessica D TenenbaumNorth Carolina Department of Health and Human Services, Raleigh, North Carolina, USA.
Mark G WeinerDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
Adam B WilcoxBiomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
Lucila Ohno-MachadoDepartment of Biomedical Informatics, University of California San Diego Health, La Jolla, California, USA.

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
A Knowledge Base for Clinically Relevant Genes and VariantsU01HG007437 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, EVANS, JAMES PHILIP · 2013 to 2016
$9.0M
iAGREE: A Multi-Center, Networked Patient Consent StudyR01HG011066 · NHGRI · YALE UNIVERSITY · PI OHNO-MACHADO, LUCILA · 2020 to 2024
$4.2M
Standardized and Genome-Wide Clinical Interpretation of Complex Genotypes for Cancer Precision MedicineU24CA237719 · NCI · WASHINGTON UNIVERSITY · PI GRIFFITH, OBI L. · 2019 to 2023
$3.8M
Decentralized differentially-private methods for dynamic data release and analysisR01GM118609 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JIANG, XIAOQIAN, OHNO-MACHADO, LUCILA · 2017 to 2020
$2.3M
NCATS NIH HHS UL1 TR001409NCI NIH HHS P30 CA051008NCI NIH HHS U24 CA237719NHGRI NIH HHS R01 HG011066NHGRI NIH HHS U01 HG007437NIGMS NIH HHS R01 GM118609
6 · The paper itself

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.

Indexed as

COVID-19Electronic Health RecordsInformation DisseminationPublic Health PracticeAcademic Medical CentersHumansInformation SystemsRegistriesUnited Statescovid-19data networkehrpolicypublic health

Identifiers

PMID33260207
PMCPMC7665546

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.