Abstract:
The most important agenda of health care organizations is to provide quality service
with specific number of resources and maintain an efficient patient flow.
Maximizing and optimizing the throughput of patient flow for quality care is most
important objective of healthcare systems. It impacts the patient safety, quality of
services and finance of healthcare institutions. Healthcare institutions deals with
patient arrival and flow of patients to several departments for physician’s assessment,
lab tests etc. For decades’ healthcare institutions are facing crowded emergency
departments due to lack of focus on healthcare administration. Delayed activities can
affect the patient care like staff shortage, delayed surgeries, long waiting queues and
diverted ambulances.
To address these challenges this research analyzes the patient flow for better
optimization and maximizing the patient flow throughput. In our research model rate
of patient’s arrival changes over time. Hybrid modeling is suitable modeling paradigm
when agents have dynamically associated with other agents and are geographically
spread. For the proof of concept hybrid model approach which combines Agent based
modeling and Discrete Event modeling is used.
