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SHEA position statement on pandemic preparedness for policymakers: pandemic data collection, maintenance, and release

Published online by Cambridge University Press:  05 June 2024

Westyn Branch-Elliman*
Affiliation:
Veterans Affairs Boston Healthcare System, Boston, MA, USA VA National Artificial Intelligence Institute (NAII), Washington, DC, USA Harvard Medical School, Boston, MA, USA
David B. Banach
Affiliation:
University of Connecticut School of Medicine, Farmington, CT, USA Yale School of Public Health, New Haven, CT, USA
Lynne J. Batshon
Affiliation:
Society for Healthcare Epidemiology of America (SHEA), Arlington, VA, USA
Ghinwa Dumyati
Affiliation:
University of Rochester Medical Center, Rochester, NY, USA Center for Community Health, Rochester, NY, USA
Sarah Haessler
Affiliation:
Baystate Medical Center, Springfield, MA, USA University of Massachusetts Chan Medical School – Baystate, Springfield, MA, USA
Vincent P. Hsu
Affiliation:
AdventHealth, Altamonte Springs, FL, USA Loma Linda University School of Medicine, Loma Linda, CA, USA
Robin L.P. Jump
Affiliation:
Geriatric Research Education and Clinical Center (GRECC), Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
Anurag N. Malani
Affiliation:
Trinity Health Michigan, Ann Arbor, MI, USA
Trini A. Mathew
Affiliation:
HealthTAMCycle3, PLLC, Troy, MI, USA Corewell Health, Taylor, MI, USA School of Medicine, Wayne State University, Detroit, MI, USA Oakland University William Beaumont, Rochester, MI, USA
Rekha K. Murthy
Affiliation:
Cedars-Sinai, Los Angeles, CA, USA David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
Steven A. Pergam
Affiliation:
Fred Hutchinson Cancer Research Center, Seattle, WA, USA University of Washington, Seattle, WA, USA Seattle Cancer Care Alliance, Seattle, WA, USA
Erica S. Shenoy
Affiliation:
Harvard Medical School, Boston, MA, USA Massachusetts General Hospital, Boston, MA, USA Mass General Brigham, Boston, MA, USA
David J. Weber
Affiliation:
University of North Carolina, Chapel Hill, NC, USA
*
Corresponding author: Westyn Branch-Elliman; Email: wbranche@bidmc.harvard.edu

Abstract

The Society for Healthcare Epidemiology in America (SHEA) strongly supports modernization of data collection processes and the creation of publicly available data repositories that include a wide variety of data elements and mechanisms for securely storing both cleaned and uncleaned data sets that can be curated as clinical and research needs arise. These elements can be used for clinical research and quality monitoring and to evaluate the impacts of different policies on different outcomes. Achieving these goals will require dedicated, sustained and long-term funding to support data science teams and the creation of central data repositories that include data sets that can be “linked” via a variety of different mechanisms and also data sets that include institutional and state and local policies and procedures. A team-based approach to data science is strongly encouraged and supported to achieve the goal of a sustainable, adaptable national shared data resource.

Type
SHEA Position Paper
Creative Commons
This is a work of the US Government and is not subject to copyright protection within the United States. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America.
Copyright
© VA Healthcare System, 2024.

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