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

Formative Evaluation of Digital Health Interventions (2491) Mobile Health in Psychiatry (438) Ethics, Privacy, and Legal Issues (494) Development and Evaluation of Research Methods, Instruments and Tools (511) Development of Instruments and Surveys (86) mHealth in a Clinical Setting (624) mHealth for Data Collection and Research (981) Methods and New Tools in Mental Health Research (463) Participatory Medicine & E-Patients (787)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47380, first published .
Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study

Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study

Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study

Authors of this article:

Jodie Nghiem1 Author Orcid Image ;   Daniel A Adler2 Author Orcid Image ;   Deborah Estrin2 Author Orcid Image ;   Cecilia Livesey3, 4 Author Orcid Image ;   Tanzeem Choudhury2 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

Jodie Nghiem   1 * , BA, BSc, MBA ;   Daniel A Adler   2 * , MSc ;   Deborah Estrin   2 , PhD ;   Cecilia Livesey   3, 4 , MD ;   Tanzeem Choudhury   2 , PhD

1 Medical College, Weill Cornell Medicine, New York, NY, United States

2 College of Computing and Information Science, Cornell Tech, New York, NY, United States

3 Optum Labs, UnitedHealth Group, Minnetonka, MN, United States

4 Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, United States

*these authors contributed equally

Corresponding Author:

  • Daniel A Adler, MSc
  • College of Computing and Information Science
  • Cornell Tech
  • 2 W Loop Rd
  • New York, NY, 10044
  • United States
  • Phone: 1 2155953769
  • Email: daa243@cornell.edu