A simulation-IP based tool for patient admission services in a multi-specialty outpatient clinic

In this paper, we develop a framework that integrates a discrete-event simulation model and integer programming (IP) model for patient admission planning and the intermediate term allocation of resource capacities. Two types of patients are considered in this study: new and existing. The simulation model is used to find the best balance between new and existing patients arriving to each appointment time period during the day. New patients require more time to complete their admission processes and for visiting with a doctor. The IP produces an optimal calendar schedule for the doctors, i.e. the best appointment time for each doctor to see new patients. We report on computational results based on a real clinic, historical data, and both patient and management performance measures.