# Healthcare AI agents: why evaluation must move from answers to actions

> Healthcare AI is moving from answers to actions — and model evaluation must shift from simplistic multiple-choice testing to comprehensive workflow safety and governance. I'm convinced that agentic workflow automation will be a massive opportunity in healthcare and life sciences.

URL: https://www.ch-healthtech.com/insights/healthcare-ai-moving-answers-actions
Markdown: https://www.ch-healthtech.com/insights/healthcare-ai-moving-answers-actions.md
Published: 2025-09-16
Updated: 2026-05-06
Author: Christian Hein
Tags: technology/artificial-intelligence, technology/agentic-ai, technology/digital-health, function/regulatory-compliance, function/innovation-management

---


Healthcare AI is moving from answers to actions.

Stanford University's new MedAgentBench tests AI agents on real EHR workflows, like retrieving labs or placing orders. in this benchmark; the best models perform many routine tasks, others fail in messy, real-world data.

In my opinion, model evaluation must shift from the current "simplistic" multiple-choice testing approach to more comprehensive workflow safety and governance.

I am convinced that, while still early, agentic workflow organization will be a massive opportunity within healthcare and life sciences, that is urgently needed.