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PROTOTYPE — synthetic data only. Not medical advice.
Clinical program overview

One reading, one automated loop.

A patient measures their blood pressure. The app runs the same protocol a Kaiser hypertension clinic would run — every time, in under a second — and only surfaces the patients who need a human.

The loop

  1. Step 1

    Signed reading arrives

    An FDA-cleared cuff (Omron VitalSight cellular hub or a paired Bluetooth device) POSTs the reading to a signed public endpoint. The signature is verified before anything else runs. Manual entry works too, for patients without a device yet.

  2. Step 2

    Protocol triage

    The reading is classified into a band (normal / stage 1 / stage 2 / severe) using AHA thresholds. Severe asymptomatic readings trigger a mandatory 5-minute recheck; severe with symptoms routes straight to 911/urgent care. Program hours are not 24/7 by design — this is chronic management, not urgencies.

  3. Step 3

    Patient nudge

    The patient sees a plain-language message tied to their own numbers and, when BP is elevated, a motivational-interviewing lever picker: one small, chosen change beats one prescribed change. All screens are bilingual (English/Spanish).

  4. Step 4

    Clinician queue

    Only patients meeting the escalation rule surface in the clinician's triaged alerts queue. Every alert ships with a Kaiser-style suggested next step and a copy-ready SOAP draft.

  5. Step 5

    Titration when the cycle is ready

    After the 14-day cycle, if the average is above target, the engine recommends the next rung of the Kaiser 2019 ladder (start → lisinopril → +HCTZ → +amlodipine → +spironolactone). Clinician approves in one click; a SOAP note writes itself.

  6. Step 6

    KDIGO safety carve-outs

    Recent labs (K⁺, Cr, eGFR, UACR) block or steer the recommendation: high potassium blocks ACEi/ARB additions, low eGFR forces the CKD monotherapy track, and lab draws are scheduled from the KDIGO heat map.

Why this shape

Cheap

Target patient pays $10–17/month. No RPM billing overhead. FDA-cleared devices at consumer price points.

Safe

Every recommendation is anchored in a published protocol (Kaiser 2019, KDIGO). The engine won't advance past a lab contraindication.

Portable

Same architecture works standalone or embedded as a companion layer to a hospital's Epic instance via FHIR Observations.

Prototype. Synthetic data. Not medical advice; not HIPAA-certified in this build. Deployment inside a hospital Epic environment would run under that hospital's BAA.