ChronoCare AI — Multi-Agent Medical Claims Intelligence Platform | Insurance | Demo

Описание: A skilled insurance adjuster takes up to 45 minutes to 4hours manually depending on complexity of a claim to review — cross-referencing ambulance reports, ER notes, operative records, and billing codes across dozens of PDF pages.

ChronoCare AI does it in under 3 minutes, autonomously, with a 5-agent pipeline that reads, extracts, builds timelines, audits charges, and generates a medical-legal narrative — zero manual input required.

The 5-agent pipeline:

→ Agent 1 — Classify: identifies document types (ambulance, ER, operative, billing, pathology)

→ Agent 2 — Extract: pulls structured clinical events, dates, providers, ICD-10 / CPT codes

→ Agent 3 — Timeline: merges everything into a single chronological patient journey

→ Agent 4 — Audit: Golden Link check — every CPT charge must map to a documented clinical event

→ Agent 5 — Narrate: generates a medical-legal summary with findings and adjuster recommendations

Built with Snapsheet and healthcare insurance carriers in mind. Deployed on Azure.

Tech stack: Python · FastAPI · Claude AI · Multi-Agent Pipeline · ICD-10/CPT · PDF Parsing · Azure

🔗 Live demo: https://chronocare.onrender.com
🔗 LinkedIn: https://www.linkedin.com/in/revanth-putta-...