Inpatient Pre-Bill AI Review Solution

The University of Connecticut Health Center (UConn Health) is seeking proposals from qualified vendors to design, develop, and implement an artificial‑intelligence‑driven pre‑billing review solution that integrates directly with the Epic electronic health‑record system. The solution must automatically analyze 100 % of inpatient chart documentation at the point of discharge to flag missed revenue opportunities, documentation gaps, or coding errors before the bill is submitted, thereby improving reimbursement capture and compliance. Vendors must demonstrate experience with AI/ML models in clinical documentation improvement, Epic integration (via APIs or FHIR), and secure handling of protected health information (PHI). The contract will likely include solution design, software development/customization, testing, deployment, training of clinical staff, and post‑implementation support. • Scope: Full‑cycle AI solution – data ingestion, model inference, UI within Epic, reporting dashboards. • Required expertise: Machine‑learning, natural‑language processing, healthcare IT, Epic integration, HIPAA compliance. • Deliverables: Technical design, prototype, production system, user training, maintenance plan. • Evaluation criteria: Technical approach, past performance on similar health‑system AI projects, cost, timeline, and security controls.