TwinHospital is a novel hospital simulation framework that integrates real Hospital Information System (HIS) data flows with virtual hospital modeling and multi-agent simulation. It models hospital roles such as patients, nurses, physicians, and administrators, enabling the simulation of clinical workflows grounded in actual operational processes. TwinHospital not only mimics hospital processes like patient registration, consultation, and treatment but also captures the data flow across various HIS modules, allowing for the testing of AI systems and process optimizations.
- Integration with Real HIS Data Flow: TwinHospital integrates real Hospital Information System data flows with multi-agent simulation to create realistic, end-to-end simulations of hospital operations.
- Multi-Role Agent Simulation: The system simulates the interactions between hospital roles such as patients, nurses, physicians, and administrators, reflecting real-world clinical workflows.
- Realistic Hospital Process Simulation: Simulates hospital processes from patient check-in to diagnosis, treatment, and follow-up, ensuring a close alignment with actual hospital operations.
- AI System Testing: Provides a platform for testing AI algorithms and optimizations for hospital management, including scheduling, resource allocation, and queue management.
The primary contributions of TwinHospital are:
- Integration of HIS Data Flow and Agent-Based Simulation: Combines real HIS data flows with agent-based simulation to create a more realistic and accurate hospital simulation framework.
- Realistic Simulation of Hospital Processes: Enables the simulation of complete hospital workflows, ensuring a comprehensive representation of clinical operations.
- AI and Process Optimization Platform: Provides an environment for testing AI-driven algorithms and optimization techniques for hospital management, facilitating process improvements and AI deployment.
TwinHospital can be used for:
- Testing and validating AI models for clinical applications in a simulated environment before deployment in real hospitals.
- Optimizing hospital operations, including scheduling, resource allocation, and patient queue management.
- Simulating new workflows to explore innovative approaches to hospital management and patient care.
TwinHospital represents a significant advancement in hospital simulation, providing a realistic and operationally grounded framework for simulating hospital processes and testing AI systems. By integrating real HIS data flows with virtual hospital modeling and multi-agent simulation, it offers a powerful tool for improving hospital operations and advancing healthcare technologies.
@article{TwinHospital2026,
title={TwinHospital: Simulating Hospitals with Real HIS Data Flow},
author={Zihan Wang and Wenyuan Gu and Benyou Wang},
year={2026}
}- Zihan Wang , Wenyuan Gu , Benyou Wang
- The Chinese University of Hong Kong, Shenzhen
- Email: wangby@cuhk.edu.cn