Technology-Based Early Warning Systems for Bipolar Disorder: A Conceptual Framework

Journals

1. Chan S, Godwin H, Gonzalez A, Yellowlees P, Hilty D. Review of Use and Integration of Mobile Apps Into Psychiatric Treatments. Current Psychiatry Reports 2017;19(12) View
2. Depp C, Thompson W, Frank E, Swartz H. Prediction of near-term increases in suicidal ideation in recently depressed patients with bipolar II disorder using intensive longitudinal data. Journal of Affective Disorders 2017;208:363 View
3. Chan S, Li L, Torous J, Gratzer D, Yellowlees P. Review of Use of Asynchronous Technologies Incorporated in Mental Health Care. Current Psychiatry Reports 2018;20(10) View
4. Fortuna K, Torous J, Depp C, Jimenez D, Areán P, Walker R, Ajilore O, Goldstein C, Cosco T, Brooks J, Vahia I, Bartels S. A Future Research Agenda for Digital Geriatric Mental Healthcare. The American Journal of Geriatric Psychiatry 2019;27(11):1277 View
5. Ng A, Kornfield R, Schueller S, Zalta A, Brennan M, Reddy M. Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
6. Hilty D, Torous J, Parish M, Chan S, Xiong G, Scher L, Yellowlees P. A Scoping Review to Develop a Framework of Asynchronous Technology Competencies for Psychiatry and Medicine. Journal of Technology in Behavioral Science 2021;6(2):231 View
7. Hilty D, Armstrong C, Luxton D, Gentry M, Krupinski E. A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions. Journal of Technology in Behavioral Science 2021;6(2):278 View
8. Dhinagaran D, Martinengo L, Ho M, Joty S, Kowatsch T, Atun R, Tudor Car L. Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework. JMIR mHealth and uHealth 2022;10(10):e38740 View
9. Tonon A, Nexha A, Mendonça da Silva M, Gomes F, Hidalgo M, Frey B. Sleep and circadian disruption in bipolar disorders: From psychopathology to digital phenotyping in clinical practice. Psychiatry and Clinical Neurosciences 2024;78(11):654 View
10. Elsayed O, Cecil J, Priesmeyer R, Siegel G, Siegel P, El-Mallakh R. The use of a smartphone app for self-monitoring by patients with bipolar disorder being treated in a primary care setting. Journal of Family Medicine and Primary Care 2025;14(1):85 View
11. Astill Wright L, Moore M, Reeves S, Vallejos E, Morriss R. Improving the Utility, Safety, and Ethical Use of a Passive Mood-Tracking App for People With Bipolar Disorder Using Coproduction: Qualitative Focus Group Study. JMIR Formative Research 2025;9:e65140 View
12. Høegh M, Glastad S, Lyngstad S, Engen M, Aminoff S, Melle I, Bjella T, Lagerberg T. The MinDag app for symptom monitoring and feedback to patients and clinicians during the initial treatment of bipolar disorder – a feasibility study. International Journal of Bipolar Disorders 2025;13(1) View
13. Ortiz A, Halabi R, Alda M, DeShaw A, Husain M, Nunes A, O’Donovan C, Patterson R, Mulsant B, Hintze A. Day-to-day variability in activity levels detects transitions to depressive symptoms in bipolar disorder earlier than changes in sleep and mood. International Journal of Bipolar Disorders 2025;13(1) View
14. Morton E, Hole R, O'Brien H, Li L, Barnes S, Michalak E. The experience of self-monitoring using the PolarUs bipolar disorder self-management app: a qualitative report of impacts and unmet needs. Journal of Affective Disorders 2025;383:374 View

Books/Policy Documents

1. Hilty D, Cheng Y, Luxton D. Digital Mental Health. View