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SO040

Connecting streaming data to clinical care: perspectives from mental health clinicians

CONNECTING STREAMING DATA TO CLINICAL CARE: INSIGHTS FROM MENTAL HEALTH CLINICIANS

Clinicians view patient-generated streaming data as a promising adjunct that complements, rather than replaces, clinical judgment and patient self-report, but usability, workflow, and regulatory barriers limit its integration.

The study aimed to examine clinicians’ experiences and perspectives on integrating patient-generated streaming data from wearable technologies into mental health care. Using a qualitative, exploratory design, 30-minute semistructured interviews were conducted via Zoom throughout October 2025; 33 clinicians (12 psychiatrists, 11 family physicians, and 10 psychologists) were included in the analysis, and the data were coded inductively using reflexive thematic analysis based on Braun and Clarke’s six-phase approach. Six themes were identified: current use of digital and streaming data technologies, perceived clinical value, usability and support, feasibility and workflow barriers, data quality and validity, and privacy and regulation. Current use varied considerably; 14 clinicians reported recommending digital health apps or resources to their patients, and 18 reported using, recommending, or encountering streaming data technologies in practice. Sleep, cardiovascular, activity, medication, and mood data were considered valuable when they helped clinicians understand functioning, monitor treatment adherence, or identify meaningful changes; 21 clinicians emphasized the value of real-time, longitudinal, and relatively objective information, while 21 also considered seamless integration with the electronic medical record (EMR) particularly important, and 14 stated that data needed to be presented clearly and consistently. Barriers included difficulties with EMR integration, reported by 5 clinicians; the need for adoption by the entire healthcare team, emphasized by 11; and limited applicability across patient populations, noted by 18. Twenty-five clinicians expressed concern about whether streaming data were sufficiently accurate and valid to guide clinical decisions or inform treatment, while 7 reported greater confidence. Regarding privacy, 13 clinicians raised concerns about privacy, consent, storage, access, and third-party platforms; 3 reported minimal concern about low-risk measurements such as movement or pulse rate; and 5 emphasized that the data should be used solely to support patient care. According to the authors, clinicians play a central role in determining whether streaming data inform clinical decisions; clinician involvement is therefore essential at every stage of technology design, evaluation, and implementation.

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