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A multi-center validation of the electronic health record admission source and discharge location fields against the clinical notes for identifying inpatients with long-term care facility exposure

Published online by Cambridge University Press:  18 April 2024

Katherine E. Goodman*
Affiliation:
Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, MD, USA The University of Maryland Institute for Health Computing, Bethesda, MD, USA
Monica Taneja
Affiliation:
The University of Maryland School of Medicine, Baltimore, MD, USA
Laurence S. Magder
Affiliation:
Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, MD, USA
Eili Y. Klein
Affiliation:
Department of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
Mark Sutherland
Affiliation:
Departments of Emergency Medicine and Internal Medicine, The University of Maryland School of Medicine, Baltimore, MD, USA
Scott Sorongon
Affiliation:
Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, MD, USA
Pranita D. Tamma
Affiliation:
Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
Philip Resnik
Affiliation:
Department of Linguistics and Institute for Advanced Computer Studies, The University of Maryland, College Park, College Park, MD, USA
Anthony D. Harris
Affiliation:
Department of Epidemiology and Public Health, The University of Maryland School of Medicine, Baltimore, MD, USA The University of Maryland Institute for Health Computing, Bethesda, MD, USA
*
Corresponding author: Katherine E. Goodman; Email: kgoodman@som.umaryland.edu

Summary

Identifying long-term care facility (LTCF)-exposed inpatients is important for infection control research and practice, but ascertaining LTCF exposure is challenging. Across a large validation study, electronic health record data fields identified 76% of LTCF-exposed patients compared to manual chart review.

Type
Original Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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