The hybrid deterministic-LLM pattern for healthcare AI
Why the most reliable healthcare AI systems use language models for interpretation and rule engines for computation, and how to architect this in practice.
Open source tools and writing for engineers building AI in healthcare. Synthetic PHI generation, agent evaluation, and open data standards, alongside essays on the architecture that holds up in production.
Named failure modes and evaluation prompts for healthcare AI agents. Catch hallucinations, misrouted prior auths, and fabricated codes before production.
Generate realistic fake patient data for healthcare AI dev and test environments. Fully client-side, no data leaves your browser.
An open JSON schema for representing health plan benefits, copays, deductibles, coverage tiers, and prior auth rules, in one clean, machine-readable format. Not just a tool. A proposed open standard.
A new essay every two weeks on healthcare AI architecture, RCM patterns, and the technical realities of building in this space. No marketing, no spam.
Or find it on GitHub.