FHIR-AgentBench D
AI benchmark · Healthcare
- Domains
- Healthcare
- Tier
- D why
- Snapshot
What is FHIR-AgentBench?
FHIR-AgentBench measures how well LLM agents answer real-world clinical questions by retrieving and reasoning over EHR data in the HL7 FHIR standard.
Health and bio mostly
“we introduce FHIR-AgentBench, a benchmark that grounds 2,931 real-world clinical questions in the HL7 FHIR standard.”
arxiv.org/abs/2509.19319v2 ↗
Paper: arxiv.org/abs/2509.19319v2 ↗
Tier D
D
Long tail: little or no usage data yet.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 4 models scored
- fewer than 5 models scored
- in curated RL directories (1 pt)
How we got to tier D
- Adoption: 4 models scored; fewer than 5 models scored. Tier D.
- On X: unclear, none buzz No move.
- In curated RL directories: 1 point, a floor of none.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where FHIR-AgentBench sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-11-05 snapshot.