H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR Integration
On the map: LLM agents and tool use → Medical and scientific domain agents
Abstract (arXiv)
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 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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Medical and scientific domain agents, one of 16 directions in LLM agents and tool use. Builds on 13 of its 57 references that are in the map. First posted on arXiv 5 Feb 2026.
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13 of 57 references.
Closest ancestors · 5
Same direction, newest first
- 2025Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions28 Mar
- 2025MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents24 Jan
- 2024MEDCO: Medical Education Copilots Based on A Multi-Agent Framework22 Aug
- 2024Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents5 May
- 2024AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator15 Feb
Other references · 8
- 2024The Llama 3 Herd of Modelscited by 14,192
- 2023MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoningcited by 311
- 2024MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Makingcited by 162
- 2024Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulatorcited by 36
- 2025PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactionscited by 30
- 2024ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real Worldcited by 28
- 2024PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulationcited by 8
- 2025MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Educationcited by 2
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