Agent Clinic: Human-in-the-Loop Medical Consultations with LangGraph and AWS Bedrock
The name cuts two ways. It's a clinic — for patients. And the clinic runs on agents.
The problem this POC targets is specific: small and charity hospitals where doctor time is genuinely scarce and IT budgets are measured in hundreds of dollars, not thousands. A consultation isn't just a diagnosis — it's intake, medical history retrieval, triage sorting, prescription recording, pharmacy stock checking. The typical workflow hands all of that to a doctor anyway, because there's no other option. The result: a clinician spending 40% of their time on work that doesn't require clinical judgment.
The premise here is simple. AI handles everything that doesn't require a clinician. The doctor steps in exactly once — to read the AI-produced intake summary and give a diagnosis. That's it. The prescription agent takes over from there.
This is a JigsawFlux project. JigsawFlux builds open-source tools for health tech, things that matters — tools that have to work in the real world, not the well-funded one. That means two hard constraints shaped every architecture decision here: cost and deployability. Viable on a shoestring budget. Runnable in places where "cloud-native" isn't an option — a clinic with a single server, unreliable internet, and an IT team of one.
Built on AWS Bedrock (Claude Haiku 4.5), LangGraph for orchestration, LangChain @tool wrappers for data access, and Streamlit for the UI. Total cost: < $0.01 per consultation. Deployable on a £25/month VPS or a clinic's own hardware, with the option to go fully on-premises as models improve.