# Paper: HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

---
type: paper
title: "HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents"
authors: Qianchu Liu, Sheng Zhang, Guanghui Qin, Jeya Maria Jose Valanarasu, Maximilian Rokuss, Mingyu Lu, Timothy Ossowski, Juan Manuel Zambrano Chaves, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.31179
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-30
updated_at: 2026-06-30
status: queued
relevance: high
topics:
  - agent-evaluation
  - planning
  - reasoning
  - workflow-agent
methods:
  -
benchmarks:
  -
models:
  -
datasets:
  - cs.AI
  - cs.CL
  - cs.CV
related_concepts:
  -
related_jobs:
  -
related_experiments:
  -
related_projects:
  -
collection_score: 20
collection_queries: agent-evaluation, ai-agent
---

## One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

## Why Collected

- matched queries: agent-evaluation, ai-agent
- inferred topics: agent-evaluation, planning, reasoning, workflow-agent
- arXiv categories: cs.AI, cs.CL, cs.CV
- collection score: 20

## Review Checklist

- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?

## Links

- arXiv: https://arxiv.org/abs/2606.31179