MediChain AI Prior Auth Review

MediChain AI is a multi-agent healthcare prior authorization review system built for the Band of Agents Hackathon 2026. The Problem: Medical prior authorization costs US hospitals $10B/year. A single case bounces between 5 departments over 2–14 days through manual emails and phone calls. The Solution: Five specialized AI agents collaborate through a shared Band room to complete the full review in under 60 seconds: - IntakeAgent extracts and structures the case (GPT-4o via AI/ML API) - MedicalNecessityAgent reviews clinical evidence (GPT-4o via AI/ML API) - InsurancePolicyAgent checks coverage prerequisites (Mistral-7B via Featherless AI) - ComplianceRiskAgent flags privacy and audit requirements (GPT-4o via AI/ML API) - DecisionCoordinator synthesises all findings into a final packet (GPT-4o via AI/ML API) Band is central — not a wrapper. Every agent reads previous agents' findings from the Band room before acting. The Band room serves as persistent shared context, coordination layer, and HIPAA-compliant audit trail. Demo: A doctor requests MRI approval for chronic lower back pain. Policy requires 6 weeks of conservative treatment. Physical therapy records are missing. System returns: NEEDS MORE INFORMATION — with exact missing document list in under 60 seconds. The system always requires human sign-off. It never makes final medical or insurance decisions. All data is synthetic. Not medical advice.