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Industrial Engineering & Operations Research
Master of Science in Industrial Engineering and Operations Research (M.S.I.E.O.R.)
Year Degree Awarded
Month Degree Awarded
Capacity Allocation, Flexibility, Primary Care, Physician Flexibility, Scheduling
Key performance measures for PC performance are timeliness and continuity. Whereas the first refers to the ability to obtain an appointment as soon as possible, the latter warrants a patient being able to see a familiar physician. In this context one has to consider the two types of appointments - same-day and prescheduled. The former is characterized by an urgent need of the patient to see a physician, the latter embodies non-urgent follow-up visits or regular appointments due to a chronic comorbidity. How should requests for appointments be assigned in order to deliver on the conflicting key metrics? What impact does the presence and the location of prescheduled appointments have in this context? How does the capacity allocation between prescheduled and same-day demand influence the decision making in the clinic? Using a stochastic dynamic program to model the dynamics of practice, we explore various ways of managing the inherent flexibility of physicians to see each others’ patients. Patients are calling in for same-day appointments. Thus, assignment decisions have to be made dynamically in real time under uncertainty of future demand and in presence of prescheduled appointment slots. The study consists of three parts: first, we examine the impact of the location of prescheduled appointments on the performance of the clinic. Second, we use our structural insights gained in the first part in order to derive implementable heuristic assignment policies. Third, we evaluate the performance of the heuristics in comparison to the optimal solution gained in the stochastic dynamic program and derive implications for the practice of primary care.
Advisor(s) or Committee Chair
Balasubramanian, Hari J