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Boosting Chronic Care Efficiency with AI-Driven Hypertension Insights

Product Overview

Client’s goals

- Unify device/Wearables + EHR data into one compliant flow. - Ship near‑real‑time dashboards for adherence and risk. - Enable AI‑driven adherence and BP‑prediction while preserving audit trails. - Scale onboarding for new devices and sites without re‑architecture.

Implementation

- Phase 1 — Readiness & Blueprint (2 weeks): site discovery, risk register, data contracts, capability matrix. - Phase 2 — Data Bridge & AI (4 weeks): ingestion pipeline + AI services; synthetic workloads to test gaps, drift, unit switches. - Phase 3 — Epic Enablement (3–5 weeks/site): SMART registration, UAT in clinician context, write‑back toggles; analytics dashboards rollout.

Value Delivered

Project Results

- Device onboarding speed: +70% (time to support a new device model). - Predictive accuracy (risk scoring): +30% improvement (vs. baseline). - Time‑to‑insight: from days to near‑real‑time dashboards. - Compliance posture: unified audit trails; standardized DPIA & access reviews.

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