Paper Title
A Machine Learning Overbooking Algorithm for Enhancing Clinic Efficiency

Abstract
In this paper, we predict patient no-show using a random forest model. Tomitigate the effects of patient no-show, we propose a predictive overbooking algorithm as a strategy. The overbooking algorithmwas simulated using a single server queue model in whichpatientappointments for a specific timeslot were scheduled in advanced, based on the probability of no-shows for that day. The focus of this paper wasto evaluate our proposed overbooking algorithm compared to the reference scenario of nooverbooking, as well as blind overbooking, commonly applied today. The criteriaused for evaluation of the three methods was clinic efficiency and clinic profitability. Our findings conclude thatpredictive overbooking brings about significant improvements in several aspects of clinicefficiency as compared to both no overbooking and blind overbooking. We also observed asignificant increase in clinic profits in the simulation of predictive overbooking compared to nooverbooking and blind overbooking. Keywords - Patient No-Show, Predictive Overbooking Algorithm, Random Forest Model, Clinic Profitability, Clinic Efficiency, Blind Overbooking, Single Server Queue Model, Overbooking Simulation