TY - JOUR AU - Epperson, C Neill AU - Davis, Rachel AU - Dempsey, Allison AU - Haller, Heinrich C AU - Kupfer, David J AU - Love, Tiffany AU - Villarreal, Pamela M AU - Matthews, Mark AU - Moore, Susan L AU - Muller, Kimberly AU - Schneck, Christopher D AU - Scott, Jessica L AU - Zane, Richard D AU - Frank, Ellen PY - 2025 DA - 2025/1/7 TI - The Trifecta of Industry, Academic, and Health System Partnership to Improve Mental Health Care Through Smartphone-Based Remote Patient Monitoring: Development and Usability Study JO - JMIR Form Res SP - e57624 VL - 9 KW - digital health KW - mobile intervention KW - telepsychiatry KW - artificial intelligence KW - psychiatry KW - mental health KW - depression KW - mood KW - bipolar KW - monitor KW - diagnostic tool KW - diagnosis KW - electronic health record KW - EHR KW - alert KW - notification KW - prediction KW - mHealth KW - mobile health KW - smartphone KW - passive KW - self-reported KW - patient generated AB - Background: Mental health treatment is hindered by the limited number of mental health care providers and the infrequency of care. Digital mental health technology can help supplement treatment by remotely monitoring patient symptoms and predicting mental health crises in between clinical visits. However, the feasibility of digital mental health technologies has not yet been sufficiently explored. Rhythms, from the company Health Rhythms, is a smartphone platform that uses passively acquired smartphone data with artificial intelligence and predictive analytics to alert patients and providers to an emerging mental health crisis. Objective: The objective of this study was to test the feasibility and acceptability of Rhythms among patients attending an academic psychiatric outpatient clinic. Methods: Our group embedded Rhythms into the electronic health record of a large health system. Patients with a diagnosis of major depressive disorder, bipolar disorder, or other mood disorder were contacted online and enrolled for a 6-week trial of Rhythms. Participants provided data by completing electronic surveys as well as by active and passive use of Rhythms. Emergent and urgent alerts were monitored and managed according to passively collected data and patient self-ratings. A purposively sampled group of participants also participated in qualitative interviews about their experience with Rhythms at the end of the study. Results: Of the 104 participants, 89 (85.6%) completed 6 weeks of monitoring. The majority of the participants were women (72/104, 69.2%), White (84/104, 80.8%), and non-Hispanic (100/104, 96.2%) and had a diagnosis of major depressive disorder (71/104, 68.3%). Two emergent alerts and 19 urgent alerts were received and managed according to protocol over 16 weeks. More than two-thirds (63/87, 72%) of those participating continued to use Rhythms after study completion. Comments from participants indicated appreciation for greater self-awareness and provider connection, while providers reported that Rhythms provided a more nuanced understanding of patient experience between clinical visits. Conclusions: Rhythms is a user-friendly, electronic health record–adaptable, smartphone-based tool that provides patients and providers with a greater understanding of patient mental health status. Integration of Rhythms into health systems has the potential to facilitate mental health care and improve the experience of both patients and providers. SN - 2561-326X UR - https://formative.jmir.org/2025/1/e57624 UR - https://doi.org/10.2196/57624 DO - 10.2196/57624 ID - info:doi/10.2196/57624 ER -