🏥CHI-Bench Tests AI Agents on Real Healthcare Workflows
TL;DR
CHI-Bench is a new benchmark for long-horizon healthcare workflows, built on a high-fidelity simulator of 20 healthcare apps wired up with 87 MCP tools. It probes whether agents can complete end-to-end clinical and administrative tasks rather than answer one-off questions.
CHI-Bench is a new benchmark for long-horizon healthcare workflows, built on a high-fidelity simulator of 20 healthcare apps wired up with 87 MCP tools. It probes whether agents can complete end-to-end clinical and administrative tasks rather than answer one-off questions.
Key Points
Simulates 20 healthcare applications connected via 87 Model Context Protocol tools
Targets long-horizon, multi-step workflows across three healthcare domains
Measures end-to-end task completion, not single-turn question answering
Posted to arXiv on May 15, 2026
Why It Matters
Healthcare is where agent failures carry real cost, so a workflow-level benchmark gives buyers a sober way to test vendor claims before anything touches a patient record.
Quick Facts
Frequently Asked Questions
Why does this matter?
Healthcare is where agent failures carry real cost, so a workflow-level benchmark gives buyers a sober way to test vendor claims before anything touches a patient record.
What happened?
CHI-Bench is a new benchmark for long-horizon healthcare workflows, built on a high-fidelity simulator of 20 healthcare apps wired up with 87 MCP tools. It probes whether agents can complete end-to-end clinical and administrative tasks rather than answer one-off questions.
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