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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Electronic Health Records (1034) Clinical Information and Decision Making (1374) Natural Language Processing (677) Clinical Informatics (989) Decision Support for Health Professionals (1163) Viewpoints and Perspectives (508)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37805, first published .
Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement

Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement

Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement

Authors of this article:

Suzanne Tamang1, 2 Author Orcid Image ;   Marie Humbert-Droz1 Author Orcid Image ;   Milena Gianfrancesco3 Author Orcid Image ;   Zara Izadi3 Author Orcid Image ;   Gabriela Schmajuk3 Author Orcid Image ;   Jinoos Yazdany3 Author Orcid Image
Article Authors Cited by (9) Tweetations (19) Metrics

Suzanne Tamang   1, 2 , PhD ;   Marie Humbert-Droz   1 , PhD ;   Milena Gianfrancesco   3 , PhD ;   Zara Izadi   3 , PhD ;   Gabriela Schmajuk   3 , MD ;   Jinoos Yazdany   3 , PhD

1 Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, United States

2 Department of Veterans Affairs, Office of Mental Health and Suicide Prevention, Program Evaluation Resource Center, Palo Alto, CA, United States

3 Division of Rheumatology, University of California, San Francisco, San Francisco, CA, United States

Corresponding Author:

  • Jinoos Yazdany, PhD
  • Division of Rheumatology
  • University of California, San Francisco
  • 10 Koret Way, Room K-219
  • San Francisco, CA, 94143
  • United States
  • Phone: 1 415-576-1000
  • Email: jinoos.yazdany@ucsf.edu