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

Electronic Health Records (809) Clinical Information and Decision Making (945) Clinical Informatics (576) Adoption and Change Management of eHealth Systems (482) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (440) Decision Support for Health Professionals (768)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43005, first published .
Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care System

Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care System

Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care System

Authors of this article:

Jeff Slezak 1 Author Orcid Image ;   David Sacks 1, 2 Author Orcid Image ;   Vicki Chiu 1 Author Orcid Image ;   Chantal Avila 1 Author Orcid Image ;   Nehaa Khadka 1 Author Orcid Image ;   Jiu-Chiuan Chen 2 Author Orcid Image ;   Jun Wu 3 Author Orcid Image ;   Darios Getahun 1, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Jeff Slezak   1 , MS ;   David Sacks   1, 2 , MD ;   Vicki Chiu   1 , MS ;   Chantal Avila   1 , MA ;   Nehaa Khadka   1 , MPH ;   Jiu-Chiuan Chen   2 , MD, SCD ;   Jun Wu   3 * , PhD ;   Darios Getahun   1, 4 * , MD, PhD

1 Kaiser Permanente Southern California, Pasadena, CA, US

2 Keck School of Medicine, University of Southern California, Los Angeles, CA, US

3 Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, CA, US

4 Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, US

*these authors contributed equally

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