AI Agents 相关度: 9/10

H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR Integration

Jun-Min Lee, Meong Hi Son, Edward Choi
arXiv: 2602.05407v1 发布: 2026-02-05 更新: 2026-02-05

AI 摘要

H-AdminSim是一个用于模拟医院行政工作流程的多智能体仿真框架,集成FHIR标准。

主要贡献

  • 提出H-AdminSim仿真框架,模拟医院行政工作流程
  • 结合现实数据生成和多智能体仿真
  • 通过FHIR集成,实现跨异构医院环境的互操作性

方法论

构建基于多智能体的仿真环境,生成真实数据,并使用FHIR标准集成异构医院环境。

原文摘要

Hospital administration departments handle a wide range of operational tasks and, in large hospitals, process over 10,000 requests per day, driving growing interest in LLM-based automation. However, prior work has focused primarily on patient--physician interactions or isolated administrative subtasks, failing to capture the complexity of real administrative workflows. To address this gap, we propose H-AdminSim, a comprehensive end-to-end simulation framework that combines realistic data generation with multi-agent-based simulation of hospital administrative workflows. These tasks are quantitatively evaluated using detailed rubrics, enabling systematic comparison of LLMs. Through FHIR integration, H-AdminSim provides a unified and interoperable environment for testing administrative workflows across heterogeneous hospital settings, serving as a standardized testbed for assessing the feasibility and performance of LLM-driven administrative automation.

标签

multi-agent simulation FHIR healthcare LLM

arXiv 分类

cs.AI cs.CL