Thalamus is a four-layer pipeline that turns every document a patient generates into a live, queryable patient state — and compiles the right slice of it for each agent, each time.
Every source document a patient generates, kept in full. Nothing is discarded here — this layer is the system of record underneath everything Thalamus computes.
Every document is broken down into discrete clinical facts — Atomic Clinical Data Points, or ACDPs. Each one carries roughly ten metadata tags today, a set built to grow past a hundred: category, organ system, asserter, temporal information, source and confidence among them. A single patient can hold thousands.
Every ACDP links back to its original document, timestamp and provenance.
L3 performs inference over the atomic layer to determine the patient's current state — and stays current automatically as new documents arrive.
Three capabilities sit on top of the computed patient state, each consuming it differently.
Different agents need different context — a pregnancy agent doesn't need a full dermatology history. The compiler decides which patient state, which ACDPs and which context each specific agent receives, and prepares the input it's given.
Ingests clinical guidelines from bodies including ADA, USPSTF, AHA, ASCO and ATA, and determines which apply, which recommendations are relevant, and which screenings should surface for this patient's current state.
Proactively surfaces care gaps, preventive opportunities, missing follow-ups, clinical risks and unresolved issues — before the downstream agent starts reasoning.
Every new document — a lab result, a follow-up note, a five-minute agent call — flows through the same pipeline the moment it arrives, so the patient profile never goes stale.
Bring a real patient record set and we'll walk through what Thalamus routes to your agent.