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

Viewpoints and Opinions on Mental Health (42) Innovations in Mental Health Systems (384) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1488) Wearable Devices and Sensors (876) Adoption and Change Management of eHealth Systems (699)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40429, first published .
Technology Implementation for Mental Health End Users: A Model to Guide Digital Transformation for Inpatient Mental Health Professionals

Technology Implementation for Mental Health End Users: A Model to Guide Digital Transformation for Inpatient Mental Health Professionals

Technology Implementation for Mental Health End Users: A Model to Guide Digital Transformation for Inpatient Mental Health Professionals

Authors of this article:

Jessa Lin Westheimer1 Author Orcid Image ;   Nidal Moukaddam2, 3 Author Orcid Image ;   Jan A Lindsay2, 4 Author Orcid Image ;   Ashutosh Sabharwal5 Author Orcid Image ;   Bijan Najafi6 Author Orcid Image ;   Peter A Iacobelli1 Author Orcid Image ;   Robert J Boland2, 7 Author Orcid Image ;   Michelle A Patriquin1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Hong M, Kang R, Yang J, Rhee S, Lee H, Kim Y, Lee K, Kim H, Lee Y, Youn T, Kim S, Ahn Y. Comprehensive Symptom Prediction in Acute Psychiatric Inpatients Using Wearable-Based Deep Learning Models: Development and Validation Study (Preprint). Journal of Medical Internet Research 2024 View