This paper is in the following e-collection/theme issue:

Quality Improvement (224) Natural Language Processing (644)

Published on in Vol 6, No 1 (2018): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9150, first published .
Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

Authors of this article:

Jennifer Hornung Garvin1, 2, 3, 4, 5 Author Orcid Image ;   Youngjun Kim2, 6 Author Orcid Image ;   Glenn Temple Gobbel7, 8 Author Orcid Image ;   Michael E Matheny7, 8 Author Orcid Image ;   Andrew Redd2, 4 Author Orcid Image ;   Bruce E Bray2, 3 Author Orcid Image ;   Paul Heidenreich9 Author Orcid Image ;   Dan Bolton2, 4 Author Orcid Image ;   Julia Heavirland2 Author Orcid Image ;   Natalie Kelly2 Author Orcid Image ;   Ruth Reeves7, 8 Author Orcid Image ;   Megha Kalsy2, 3 Author Orcid Image ;   Mary Kane Goldstein10, 11 Author Orcid Image ;   Stephane M Meystre2, 6 Author Orcid Image
Article Authors Cited by (26) Tweetations (1) Metrics

Jennifer Hornung Garvin   1, 2, 3, 4, 5 , MBA, PhD ;   Youngjun Kim   2, 6 , MS ;   Glenn Temple Gobbel   7, 8 , PhD, DVM ;   Michael E Matheny   7, 8 , MPH, MD, MS ;   Andrew Redd   2, 4 , PhD ;   Bruce E Bray   2, 3 , MD ;   Paul Heidenreich   9 , MD, MS ;   Dan Bolton   2, 4 , PhD ;   Julia Heavirland   2 , MA ;   Natalie Kelly   2 , MBA ;   Ruth Reeves   7, 8 , PhD ;   Megha Kalsy   2, 3 , PhD ;   Mary Kane Goldstein   10, 11 , MD, MS ;   Stephane M Meystre   2, 6 , MD, PhD

1 Health Information Management and Systems Division, School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States

2 IDEAS 2.0 Health Services Research and Development Research Center, Salt Lake City Veterans Affairs Healthcare System, Department of Veterans Affairs, Salt Lake City, UT, United States

3 Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States

4 Division of Epidemiology, Department of Medicine, University of Utah, Salt Lake City, UT, United States

5 Geriatric Research, Education and Clinical Center, Salt Lake City Veterans Affairs Healthcare System, Department of Veterans Affairs, Salt Lake City, UT, United States

6 Translational Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, United States

7 Geriatric Research, Education and Clinical Center, Tennessee Valley Healthcare System, Department of Veterans Affairs, Nashville, TN, United States

8 Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, United States

9 Palo Alto Geriatric Research, Education and Clinical Center, Veterans Affairs Palo Alto Health Care System, Department of Veterans Affairs, Stanford University, Palo Alto, CA, United States

10 Medical Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States

11 Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States

Corresponding Author:

  • Jennifer Hornung Garvin, MBA, PhD
  • Health Information Management and Systems Division
  • School of Health and Rehabilitation Sciences
  • The Ohio State University
  • 453 W 10th Ave
  • Columbus, OH, 43210
  • United States
  • Phone: 1 2156203390
  • Email: jennifer.garvin@hsc.utah.edu