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Testing a Dashboard Intervention for Tracking Digital Social Media Activity in Clinical Care of Individuals With Mood and Anxiety Disorders: Protocol and Design Considerations for a Pragmatic Randomized Trial

Testing a Dashboard Intervention for Tracking Digital Social Media Activity in Clinical Care of Individuals With Mood and Anxiety Disorders: Protocol and Design Considerations for a Pragmatic Randomized Trial

The study was carried out in outpatient psychiatry clinics across the Johns Hopkins Medical Institution and the Kennedy Krieger Institute, which is affiliated with but separate from the Johns Hopkins Medical Institution. We focused on clinics that use a collaborative care model in which patients see a psychiatrist for medication-assisted care as well as a master’s level therapist or doctoral-level psychologist for ongoing psychotherapy.

Brittany Nesbitt, Danielle Virgadamo, Carlos Aguirre, Matthew DeCamp, Mark Dredze, Keith Harrigian, Tenzin Lhaksampa, Jennifer M Meuchel, Aja M Meyer, Alex Walker, Ayah Zirikly, Margaret S Chisolm, Peter P Zandi, Leslie Miller

JMIR Res Protoc 2025;14:e63279

Experiences of Older Mental Health Patients and Their Care Partners Using a Proxy Account to Access Open Notes: Qualitative Interview Study

Experiences of Older Mental Health Patients and Their Care Partners Using a Proxy Account to Access Open Notes: Qualitative Interview Study

The Piloting and evaluation of a participatory patient-accessible electronic health record for geriatric psychiatric patients and their care partners (PEP.AGE) study is part of the Piloting and evaluation of a participatory patient-accessible electronic health record in Psychiatry and Somatics (PEPPPSY) project (2021-2026) [35,36]. In the PEPPPSY project, patients are provided with access to their HCPs’ treatment and progress notes via a dedicated patient portal [37].

Eva Meier-Diedrich, Tobias Esch, Maria Hägglund, Martin Heinze, Stefan Hochwarter, Justin Speck, Marie Wagener, Volker Dahling, Julian Schwarz

JMIR Aging 2025;8:e66690

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study

Drawing on several emerging real-world applications of AI in psychiatry, our study offers insight into perceived benefits and challenges that specialists are likely to consider in the adoption of AI tools. This study aims to advance the understanding of AI tools in psychiatric care by leveraging in-depth interviews to uncover the nuanced ways frontline physicians perceive and anticipate impacts of AI in their clinical practice.

Austin M Stroud, Susan H Curtis, Isabel B Weir, Jeremiah J Stout, Barbara A Barry, William V Bobo, Arjun P Athreya, Richard R Sharp

JMIR Ment Health 2025;12:e64414

Does the Digital Therapeutic Alliance Exist? Integrative Review

Does the Digital Therapeutic Alliance Exist? Integrative Review

The reviewed studies were included in the analysis if they met the following inclusion criteria: (1) the main topic of interest was on a psychotherapeutic intervention; (2) the study was conducted in the field of psychiatry or mental health; (3) the psychotherapeutic intervention used AI as part of its design or included a data-driven approach; and (4) the manuscript was written in French or English.

Amylie Malouin-Lachance, Julien Capolupo, Chloé Laplante, Alexandre Hudon

JMIR Ment Health 2025;12:e69294

The Trifecta of Industry, Academic, and Health System Partnership to Improve Mental Health Care Through Smartphone-Based Remote Patient Monitoring: Development and Usability Study

The Trifecta of Industry, Academic, and Health System Partnership to Improve Mental Health Care Through Smartphone-Based Remote Patient Monitoring: Development and Usability Study

The University of Colorado (CU) Anschutz Medical Campus Department of Psychiatry is a large department (500+ faculty) with a strong commitment to the incorporation of digital health and technology in the care of patients with serious mental illness. CU Innovations brings together industry partners, entrepreneurs, and investors to help CU researchers create biomedical technology that improves care delivery, health outcomes, and patient quality of life worldwide.

C Neill Epperson, Rachel Davis, Allison Dempsey, Heinrich C Haller, David J Kupfer, Tiffany Love, Pamela M Villarreal, Mark Matthews, Susan L Moore, Kimberly Muller, Christopher D Schneck, Jessica L Scott, Richard D Zane, Ellen Frank

JMIR Form Res 2025;9:e57624

Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review

Utility of Consumer-Grade Wearable Devices for Inferring Physical and Mental Health Outcomes in Severe Mental Illness: Systematic Review

Psychiatry, paralleling other health disciplines, has seen a rising interest in “digital phenotyping,” the concept of leveraging streams of passively collected data captured by personal digital sensors and devices to infer, monitor, and predict different states of health and illness [1,2].

Lamiece Hassan, Alyssa Milton, Chelsea Sawyer, Alexander J Casson, John Torous, Alan Davies, Bernalyn Ruiz-Yu, Joseph Firth

JMIR Ment Health 2025;12:e65143