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

Electronic Health Records (971) Clinical Information and Decision Making (1339) Clinical Informatics (918) Adoption and Change Management of eHealth Systems (677) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (543) Decision Support for Health Professionals (1145)

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 Slezak1 Author Orcid Image ;   David Sacks1, 2 Author Orcid Image ;   Vicki Chiu1 Author Orcid Image ;   Chantal Avila1 Author Orcid Image ;   Nehaa Khadka1 Author Orcid Image ;   Jiu-Chiuan Chen2 Author Orcid Image ;   Jun Wu3 Author Orcid Image ;   Darios Getahun1, 4 Author Orcid Image
Article Authors Cited by (3) 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, United States

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

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

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

*these authors contributed equally

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