Extracts prior-authorization evidence from synthetic FHIR data to generate structured evidence packets for clinicians.
Sponsored
AuthWeaver is an MCP server tool designed to streamline the prior-authorization process by leveraging synthetic FHIR data. It receives SHARP context, queries a synthetic FHIR server for relevant patient resources, and then utilizes an LLM to extract crucial medical-necessity evidence. The tool compiles this information into a strict JSON evidence packet, which can be integrated directly into clinician workflows. Emphasizing safety and privacy, AuthWeaver operates stateless, performs data-minimized FHIR queries, and structures its output for clear audit review, ensuring only synthetic or de-identified data is processed.
Características Principales
010 GitHub stars
02Receives SHARP context (patient ID, FHIR server URL, token)
03Queries synthetic FHIR servers for relevant medical resources
04Utilizes an LLM to extract medical-necessity evidence
05Returns a strict JSON evidence packet for clinical review
06Operates stateless with data-minimized FHIR queries
Casos de Uso
01Pulls synthetic FHIR data and extracts medical evidence for specific procedures
02Invoked by an Opinion agent with SHARP context to gather prior-authorization evidence
03Displays extracted evidence packets within a clinician's workflow to support decision-making
