HealthTech
Clinical Decision Support Agent
A multi-agent AI system that synthesises patient records, laboratory results and clinical guidelines to provide actionable treatment recommendations to medical personnel.
- Industry
- Healthcare
- Status
- Delivered
- Outcome
- 40% reduction in diagnostic review time
Overview
A clinical decision support system that brings patient history, laboratory data and published guidance into a single reviewed recommendation for clinicians.
The challenge
Clinicians were assembling context manually from separate record systems before every review, which consumed time without adding clinical judgement.
Architecture
- FHIR interfaces for structured access to patient and laboratory data
- LangGraph orchestration coordinating retrieval, reasoning and validation agents
- GPT-4 reasoning constrained to retrieved clinical context
- FastAPI service layer with role-scoped access and full request logging
Capabilities delivered
- Synthesis of records, laboratory results and guidelines
- Recommendations presented with supporting references
- Clinician-in-the-loop review before any action
- Audit trail across every generated recommendation
Outcome
40% reduction in diagnostic review time.
More work