Streaming health data can enable continuous self-monitoring and enhancing patient self-management. This data can be used to develop digital tools that support behavior change and health management through physical activity tracking, symptom monitoring, and sleep monitoring. Such technologies are already being applied in chronic disease management, particularly in conditions like diabetes and cardiovascular disease. Successful clinical integration of streaming data requires acceptance from patients and healthcare providers. There is increasingly high patient acceptability of these technologies, attributed to their ease of use and motivational effects. Users also report enhanced self-awareness through the tracking of health metrics such as daily step count, sleep patterns, heart rate, etc. However, clinician perspectives on utilizing streaming data in their clinical workflows remain relatively underexplored and differences among provider roles further complicate streaming data’s acceptance and integration. Primary care physicians and emergency doctors prioritize streaming data related to immediate physical health indicators, whereas psychiatrists and clinical psychologists emphasize mental health parameters like sleep variability, mood fluctuations, and stress levels. Understanding diverse health care perspectives is critical for effective integration and optimal utilization of streaming data in clinical settings. We present information about clinician perspectives across a range of healthcare disciplines as part of a multi-stakeholder strategy to identify key barriers, inform tailored implementation pathways, and support the integration of streaming data into routine clinical care.