title: Scheduling rules to achieve lead-time targets in outpatient appointment systems.
abstract: This paper considers how to schedule appointments for outpatients, for a clinic that is subject to appointment lead-time targets for both new and returning patients. We develop heuristic rules, which are the exact and relaxed appointment scheduling rules, to schedule each new patient appointment (only) in light of uncertainty about future arrivals. The scheduling rules entail two decisions. First, the rules need to determine whether or not a patient's request can be accepted; then, if the request is not rejected, the rules prescribe how to assign the patient to an available slot. The intent of the scheduling rules is to maximize the utilization of the planned resource (i.e., the physician staff), or equivalently to maximize the number of patients that are admitted, while maintaining the service targets on the median, the 95th percentile, and the maximum appointment lead-times. We test the proposed scheduling rules with numerical experiments using real data from the chosen clinic of Tan Tock Seng hospital in Singapore. The results show the efficiency and the efficacy of the scheduling rules, in terms of the service-target satisfaction and the resource utilization. From the sensitivity analysis, we find that the performance of the proposed scheduling rules is fairly robust to the specification of the established lead-time targets.
authors: Manufacturing Systems and Technology Program, Singapore-MIT Alliance, 65 Nanyang Drive, Singapore, 637460, Singapore. ng0003ba@e.ntu.edu.sg.
authors: Thu-Ba T
authors: TT
authors: Nguyen
authors: Manufacturing Systems and Technology Program, Singapore-MIT Alliance, 65 Nanyang Drive, Singapore, 637460, Singapore.|School of Mechanical and Aerospace Engineering, Nanyang Technological University, 65 Nanyang Drive, Singapore, 637460, Singapore.
authors: Appa Iyer
authors: AI
authors: Sivakumar
authors: Manufacturing Systems and Technology Program, Singapore-MIT Alliance, 65 Nanyang Drive, Singapore, 637460, Singapore.|Sloan School of Management, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
authors: Stephen C
authors: SC
authors: Graves
mesh_terms: D000554:Ambulatory Care Facilities / Q000458:organization & administration*; D001071:Appointments and Schedules; D017598:Efficiency, Organizational; D006297:Health Services Accessibility; D006801:Humans; D017146:Models, Organizational; D010045:Outpatients; D040841:Resource Allocation / Q000379:methods*; D012846:Singapore; D013997:Time Factors; D014850:Waiting Lists
keywords: Admission policy; Appointment lead-time; Outpatient clinics; Scheduling