Healthcare · MediCore Health
Clinical Document AI cuts physician paperwork by 62%
A 14-hospital network automated clinical documentation and discharge summaries with a HIPAA-compliant LLM platform.
62%
reduction in documentation time
2.1 hrs
returned to each physician daily
38%
faster coding & billing cycle
94%
physician adoption after 90 days
The Problem
Physicians at MediCore's 14 hospitals were spending 3+ hours daily on clinical documentation, discharge summaries and referral letters. Burnout was rising, documentation quality was inconsistent, and coding delays slowed reimbursement by weeks.
The Solution
RippleCode built a HIPAA-compliant clinical documentation platform on a private Azure OpenAI deployment. Ambient encounter notes, structured EHR data and lab results feed a RAG pipeline that drafts progress notes, discharge summaries and referral letters for physician review. A guardrail layer enforces terminology standards and flags low-confidence sections, with every draft requiring clinician sign-off.
Architecture
- Private Azure OpenAI deployment inside the client's tenant (no PHI leaves the boundary)
- FHIR-based integration layer with the Epic EHR
- RAG over clinical guidelines and hospital protocols using pgvector
- Human-in-the-loop review UI embedded in existing clinician workflow
- Full audit trail and model-output evaluation pipeline
ROI
The platform paid for itself in 5 months through recovered physician capacity and faster reimbursement cycles — an estimated $8.4M annual value across the network.
Engagement
- Client
- MediCore Health
- Industry
- Healthcare
- Service
- Artificial Intelligence
- Timeline
- 16 weeks from discovery to first-hospital rollout; full network in 7 months
Technologies
“RippleCode understood clinical workflow better than vendors we'd worked with for a decade. Our physicians actually thank us for this system.”
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