AI RESEARCH
When OpenClaw Meets Hospital: Toward an Agentic Operating System for Dynamic Clinical Workflows
arXiv CS.AI
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ArXi:2603.11721v1 Announce Type: new Large language model (LLM) agents extend conventional generative models by integrating reasoning, tool invocation, and persistent memory. Recent studies suggest that such agents may significantly improve clinical workflows by automating documentation, coordinating care processes, and assisting medical decision making. However, despite rapid progress, deploying autonomous agents in healthcare environments remains difficult due to reliability limitations, security risks, and insufficient long-term memory mechanisms.