Courses
Each course gives a small set of existing articles an explicit order, defined outcomes, and a project. Begin with the course inside your learning path.
Follow a clinical workaround through explicit behavior, structured data, testing, and deployment.
Turn one clinical protocol into explicit, testable application logic while preserving evidence limits, provenance, and the physician checkpoint.
Move from technical curiosity to a small, durable project with version control and structured data.
Design AI-assisted clinical work as an observable sequence rather than a collection of prompts.
Build a vendor-neutral ambient documentation workflow, from pre-encounter preparation through post-encounter verification, grounded in thirty years of clinical documentation history.
Learn to specify, inspect, compare, test, and govern the systems that place large language models inside clinical workflows.
Move from AI conversations to bounded, observable, and verifiable agentic work without surrendering clinical judgment.
A multipart assessment of AI claims and clinical workflows through evidence, system controls, and accountability.