AI Tracking Engine

AI that watches the seams between healthcare systems.

The dangerous mistakes don't happen inside one record — they happen when two records never meet. USPM's AI continuously stitches them together and reasons over the whole.

Ingest

Streaming connectors pull from EHRs, e-prescribing networks, pharmacy POS, claims clearinghouses and state PMPs.

Normalize

RxNorm, NDC, ICD-10, SNOMED and LOINC mappings unify every event into a single patient-centric timeline.

Reason

AI models score interaction risk, dose appropriateness, adherence, and prescribing-pattern anomalies.

Alert

Signals are routed to the right portal — patient, prescriber, pharmacy, or oversight — with full context.

Audit

Every read, write and AI inference is hash-chained into an immutable, court-admissible ledger.

What the AI catches

Signals that prevent harm — before harm.

Polypharmacy interaction
Detects dangerous combinations across providers the patient never linked.
Therapeutic duplication
Flags two prescribers writing the same class within the refill window.
Controlled-substance diversion
Scores prescribing and dispensing patterns against peer cohorts.
Missed follow-up
Surfaces patients whose post-visit plan never closed the loop.
Recall propagation
Within 60 seconds of an FDA notice, every active patient is mapped.

Sample inference

RX-882041 · Risk score 0.87

Patient 39 / F · 4 active medications

finding: severe interaction
  drug_a: warfarin (active, 5mg daily)
  drug_b: ibuprofen 600mg (new order)
  source: cross-provider registry merge
  evidence: 3 published guidelines (NICE, AHA, ACC)
recommendation:
  • notify prescribing clinician
  • suggest acetaminophen 500mg q6h prn
  • flag pharmacy verification before dispense
ledger: 0xa1f2...c9e8 (signed, hash-chained)