Claude Clinical Protocol Reasoning Engine
Interpret eligibility language, evaluate synthetic patient records, and produce transparent clinical protocol reasoning.
Project Overview
Claude Reasoning & Eligibility Platform
This demo models a clinical protocol reasoning workflow where dense eligibility criteria, synthetic patient records, and explainable AI reasoning are brought together to support transparent trial-screening decisions. The system shows how a clinical or research team can move from protocol interpretation to patient evidence review, criterion-level reasoning, human escalation, and auditable eligibility output.
Problem
Protocol eligibility is hard to interpret consistently
Trial criteria often contain nuanced medical language, exceptions, timing requirements, and ambiguous evidence needs. Research teams must compare those criteria against fragmented patient information while maintaining explainability and reviewability.
Solution
Protocol → evidence → reasoning → recommendation
The platform parses protocol criteria, normalizes synthetic patient records, evaluates each eligibility requirement, and produces a transparent recommendation with rationale, confidence, and review flags for uncertain cases.
How it works
Clinical reasoning workflow
A user selects a trial and patient, runs an evaluation, and watches the reasoning trace progress from protocol parsing to final review routing.
Protocol loaded
A structured trial protocol is selected and eligibility criteria are prepared for review.
Patient evidence reviewed
Synthetic patient details are normalized into the fields needed for criterion evaluation.
Criteria evaluated
Each inclusion and exclusion rule is checked with rationale, confidence, and evidence context.
Review flagged
Ambiguous or low-confidence cases are routed for human review instead of being auto-decided.