Analyzes wearable health data for risk signs and automatically sends alerts and schedules follow-ups when needed.
It branches. Exactly one path is taken; runs once per each monitored person's data stream.
Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)
Reviewing wearable health data for warning signs takes constant attention that no care team can realistically give every patient, every day. Subtle changes that signal a real problem can go unnoticed until it becomes an emergency.
Clinics, corporate wellness programs, or care teams monitoring patients or employees through wearable devices.
People being monitored get flagged early when their wearable data shows a real warning sign.
The hard question is not how to build it. It is whether this is the right thing to build first.
That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.
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