Single versus hybrid time horizons for open access scheduling

  • Authors:
  • Xiuli Qu;Ronald L. Rardin;Julie Ann S. Williams

  • Affiliations:
  • North Carolina Agricultural and Technical State University, Department of Industrial and Systems Engineering, 1601 E. Market Street, Greensboro, NC 27411, United States;University of Arkansas, Department of Industrial Engineering, 4169 Bell Engineering Center, Springdale, AR 72767, United States;University of West Florida, Department of Management and MIS, 11000 University Parkway, Bldg 76/101 Pensacola, FL 32514-5752, United States

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2011

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Abstract

Difficulty in scheduling short-notice appointments due to schedules booked with routine check-ups are prevalent in outpatient clinics, especially in primary care clinics, which lead to more patient no-shows, lower patient satisfaction, and higher healthcare costs. Open access scheduling was introduced to overcome these problems by reserving enough appointment slots for short-notice scheduling. The appointments scheduled in the slots reserved for short-notice are called open appointments. Typically, the current open access scheduling policy has a single time horizon for open appointments. In this paper, we propose a hybrid open access policy adopting two time horizons for open appointments, and we investigate when more than one time horizon for open appointments is justified. Our analytical results show that the optimized hybrid open access policy is never worse than the optimized current single time horizon open access policy in terms of the expectation and the variance of the number of patients consulted. In nearly 75% of the representative scenarios motivated by primary care clinics, the hybrid open access policy slightly improves the performance of open access scheduling. Moreover, for a clinic with strong positive correlation between demands for fixed and open appointments, the proposed hybrid open access policy can considerably reduce the variance of the number of patients consulted.