Identifying and categorizing spurious weight data in electronic medical records.

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Abstract

Spurious weights compromise the validity of summary measures, such as averages and trends. Even rare errors in weight records can undermine the utility of electronic medical record (EMR) data.

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Journal

Journal ID (iso-abbrev): Am J Clin Nutr

Title: The American journal of clinical nutrition

Publisher: Oxford University Press (OUP)

ISSN (Electronic): 1938-3207

ISSN (Print): 0002-9165

Publication date (Electronic): March 01 2018

Volume: 107

Issue: 3

Affiliations

[1 ] Geriatric Research, Education, and Clinical Center and Research and Development, Puget Sound VA Medical Center, Seattle, WA.

[2 ] Research and Development, Puget Sound VA Medical Center, Seattle, WA.

[3 ] Division of Gerontology and Geriatric Medicine, Department of Medicine and Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, WA.

[4 ] Geriatric Medicine, Division of General Medical Disciplines, Stanford University School of Medicine, Stanford, CA.

[5 ] Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, WA.

Article

Publisher Item ID: 4939337

DOI: 10.1093/ajcn/nqx056

PubMed ID: 29566188

SO-VID: ed562246-0cd9-475e-badd-0a24464f2591

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