When OpenClaw Meets Hospital: Toward an Agentic Operating System for Dynamic Clinical Workflows
By: Wenxian Yang, Hanzheng Qiu, Bangqun Zhang, Chengquan Li, Zhiyong Huang, Xiaobin Feng, Rongshan Yu, Jiahong Dong
Published: 2026-03-12
View on arXiv →#cs.AI
Abstract
This work proposes an architecture that adapts LLM agents for hospital environments to significantly improve clinical workflows. It addresses reliability, security, and long-term memory limitations by introducing a restricted execution environment, a document-centric interaction paradigm, a page-indexed memory architecture, and a curated medical skills library. The system forms the basis of an Agentic Operating System for Hospital, capable of coordinating clinical workflows with safety, transparency, and auditability.