FHIR-AgentBench
AI benchmark from Paper Arxiv
FHIR-AgentBench evaluates LLM agents on realistic interoperable EHR question answering over HL7 FHIR resources. It grounds 2,931 real-world clinical questions in FHIR and compares retrieval strategies, interaction patterns, and reasoning approaches such as direct FHIR API calls, specialized tools, single-turn versus multi-turn interaction, and natural-language versus code-generation reasoning.
- Publisher
- Paper Arxiv
- Domains
- Healthcare
- Data source
- benchmarklist
- Catalogued
Catalogue entry from the RL Engineering daily scrape of public sources. Data reflects the 2026-08-30 snapshot.