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ChatGPT: Increasing accessibility for natural language processing in healthcare quality measurement

Published online by Cambridge University Press:  10 November 2023

Julie Tsu-Yu Wu
Affiliation:
Department of Medicine, Palo Alto VA Healthcare System, Palo Alto, California Stanford University School of Medicine, Palo Alto, California
Erica S. Shenoy
Affiliation:
Massachusetts General Hospital and Mass General Brigham Boston, Massachusetts Harvard Medical School, Boston, Massachusetts
Evan P. Carey
Affiliation:
Veterans’ Affairs National Artificial Intelligence Institute, Washington, DC Department of Biostatistics and Informatics, University of Colorado School of Public Health, Denver, Colorado
Gil Alterovitz
Affiliation:
Harvard Medical School, Boston, Massachusetts Veterans’ Affairs National Artificial Intelligence Institute, Washington, DC
Michael J. Kim
Affiliation:
Veterans’ Affairs National Artificial Intelligence Institute, Washington, DC Irvine School of Medicine, University of California–Irvine, Irvine California
Westyn Branch-Elliman*
Affiliation:
Harvard Medical School, Boston, Massachusetts Veterans’ Affairs National Artificial Intelligence Institute, Washington, DC Section of Infectious Diseases, Department of Medicine, VA Boston Healthcare System, West Roxbury, Massachusetts
*
Corresponding author: Westyn Branch-Elliman; Email: Westyn.Branch-Elliman@va.gov

Abstract

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Type
Commentary
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
© US Department of Veterans Affairs, 2023

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References

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