Connected Health Device Feature Spec Template

Design a unified dashboard that aggregates data from all connected devices into a single patient view. Use consistent color coding and threshold logic across device types. Prioritize the most clinically relevant reading on the home screen and let patients drill into individual device data. On the provider side, correlate multi-device data (e.g., blood pressure trends alongside weight trends) to surface insights that single-device data misses.

Define a firmware update strategy that minimizes patient disruption. Over-the-air (OTA) updates via the companion app are standard. Require user consent before updating, schedule updates during low-use periods (e.g., overnight charging), and ensure the device stores pending readings during the update process. Never force an update that blocks the patient from taking a measurement.

For FDA-cleared devices, the manufacturer's 510(k) submission includes accuracy validation data. Your responsibility is ensuring data fidelity from device to app to cloud to provider dashboard. Test the full pipeline: take a reading, verify the value matches at every stage (device screen, app display, cloud database, provider dashboard). Document acceptable rounding rules if any.

Both. Start with a standalone web dashboard for faster iteration and broader provider access. In parallel, build FHIR-based integrations to push readings and alerts into the EHR as Observations. Most providers will not check a separate dashboard daily, but they will see an alert in their EHR inbox. The standalone dashboard serves care managers who do population-level monitoring.

Store all timestamps in UTC. Convert to the patient's local time zone for display in the app and to the provider's local time zone for the dashboard. Document the time zone handling in the data model spec. This matters for clinical interpretation: a reading taken at 6 AM in Pacific time is different context than a reading at 6 AM Eastern. ---