[2603.11721] When OpenClaw Meets Hospital: Toward an Agentic Operating System for Dynamic Clinical Workflows

Computer Science > Artificial Intelligence arXiv:2603.11721 (cs) [Submitted on 12 Mar 2026 (v1), last revised 21 Mar 2026 (this version, v2)] Title:When OpenClaw Meets Hospital: Toward an Agentic Operating System for Dynamic Clinical Workflows Authors:Wenxian Yang, Hanzheng Qiu, Bangqun Zhang, Chengquan Li, Zhiyong Huang, Xiaobin Feng, Rongshan Yu, Jiahong Dong View a PDF of the paper titled When OpenClaw Meets Hospital: Toward an Agentic Operating System for Dynamic Clinical Workflows, by Wenxian Yang and 7 other authors View PDF HTML (experimental) Abstract:Large language model (LLM) agents extend generative models with reasoning, tool use, and persistent memory, thereby enabling the automation of complex tasks. In healthcare, such systems could support documentation, care coordination, and clinical decision making. Their reliable deployment in hospitals, however, remains constrained by safety risks, limited transparency, and inadequate mechanisms for handling longitudinal clinical context. Here we propose an architecture that adapts LLM agents to hospital environments. The design comprises four components: a restricted execution environment inspired by multi-user operating systems, a document-centric interaction model linking patient and clinician agents, a page-indexed memory architecture for longitudinal context management, and a curated library of composable medical skills. Implemented on top of OpenClaw, an open-source agent orchestration framework, this design prov...