Bayesian model-based Complex Network Analysis and Agent-based Health Process Simulation
(William K. Cheung, Jiming Liu, et al.)

Healthcare process enhancement aims to improve patient experience in the healthcare system, e.g., to shorten patient wait time, which is especially desirable for cases where timely treatment can increase the chance of recovery. The recent fast development of electronic Health records and smart devices has enabled the patient experience to be digitally recorded to support healthcare analytics. In this project, we focus on how the physical interactions among patients and caregivers, as well as the organization interactions among different units in a hospital can be modeled as complex networks and analyzed using the Bayesian model-based approach. In addition, the agent-based simulation approach will also be explored as the methodology for evaluating different wait time shortening strategies.


Recent Findings:


Grant Support:

This project is supported by the Research Grants Council (RGC), Hong Kong SAR, China (Project HKBU210410) and the Hong Kong Baptist University Strategic Development Grant (Project SDF10-0526-P08).

For further information on this research topic, please contact Dr. William K. Cheung.