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

Formative Evaluation of Digital Health Interventions (3229) Mobile Health in Psychiatry (527) Ethics, Privacy, and Legal Issues (617) Development and Evaluation of Research Methods, Instruments and Tools (744) Development of Instruments and Surveys (104) mHealth in a Clinical Setting (743) mHealth for Data Collection and Research (1196) Methods and New Tools in Mental Health Research (558) Participatory Medicine & E-Patients (873)

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 (13) Tweetations (7) Metrics

Journals

  1. Adler D, Yang Y, Viranda T, Xu X, Mohr D, Van Meter A, Tartaglia J, Jacobson N, Wang F, Estrin D, Choudhury T. Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(4):1 View
  2. Kim Y, Kim G, Cho H, Kim Y, Choi M. Application of Patient-Generated Health Data Among Older Adults With Cancer: Scoping Review. Journal of Medical Internet Research 2025;27:e57379 View
  3. Tuncer G, Çetinkaya Duman Z. The Exploration of Psychiatric Nurses' Perspectives on the Applications of Artificial Intelligence in Supporting Care: ‘Patients Prefer Seeing a Human Over AI’. Journal of Psychiatric and Mental Health Nursing 2025;32(5):1053 View
  4. Chen Y, Xiong Y, Ding X, Yang F, Deng Y, Ma N, Li Y. CloudEcho: Exploring the Role of Large Conversational Language Models in Enhancing Home Care Models and Communication Quality. International Journal of Human–Computer Interaction 2025:1 View
  5. Sapanel Y, Cloutier L, Morton A, Lin S, Seres G, Ho D. Understanding Economic Decision-Making in Digital Therapeutics Development: Qualitative Approach. Journal of Medical Internet Research 2025;27:e79746 View
  6. Flathers M, Xia W, Hau C, Nelson B, Cheong J, Burns J, Torous J. Interpreting psychiatric digital phenotyping data with large language models: a preliminary analysis. BMJ Mental Health 2025;28(1):e301817 View
  7. Kostick-Quenet K, Hurley M, Ayaz S, Herrington J, Zampella C, Parrish-Morris J, Tunç B, Lázaro-Muñoz G, Blumenthal-Barby J, Storch E. Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Healthcare: A Qualitative Study (Preprint). JMIR Mental Health 2025 View
  8. Velykoivanenko L, Salehzadeh Niksirat K, Abdrabo A, Huguenin K. Evaluating the Potential of Data-Driven Surveys for Fitness-Tracking Research. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2025;9(4):1 View

Books/Policy Documents

  1. Kittelmann L, Reindl-Spanner P, Prommegger B, Gensichen J, Krcmar H. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. View

Conference Proceedings

  1. Hwang A, Adler D, Friedenberg M, Yang Q. Proceedings of the CHI Conference on Human Factors in Computing Systems. Societal-Scale Human-AI Interaction Design? How Hospitals and Companies are Integrating Pervasive Sensing into Mental Healthcare View
  2. Kim T, Bae S, Kim H, Lee S, Hong H, Yang C, Kim Y. Proceedings of the CHI Conference on Human Factors in Computing Systems. MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling View
  3. Adler D, Choudhury T. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing. Ubiquitous Computing in Action: Infrastructure to Support Sensing and Mental Health Research in Practice View
  4. Adler D, Yang Y, Viranda T, Van Meter A, McGinty E, Choudhury T. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Designing Technologies for Value-based Mental Healthcare: Centering Clinicians' Perspectives on Outcomes Data Specification, Collection, and Use View