Matching daily healthcare provider capacity to demand in advanced access scheduling systems

Xiuli Qu, Ronald L. Rardin, Julie Ann S. Williams, Deanna R. Willis

Research output: Contribution to journalArticle

64 Scopus citations

Abstract

Advanced access scheduling, introduced in the early 1990s, is reported to significantly improve the performance of outpatient clinics. The successful implementation of advanced access scheduling requires the match of daily healthcare provider capacity with patient demand. In this paper, for the first time a closed-form approach is presented to determine the optimal percentage of open-access appointments to match daily provider capacity to demand. This paper introduces the conditions for the optimal percentage of open-access appointments and the procedure to find the optimal percentage. Furthermore, the sensitivity of the optimal percentage of open-access appointments to provider capacity, no-show rates, and demand distribution is investigated. Our results demonstrate that the optimal percentage of open-access appointments mainly depends on the ratio of the average demand for open-access appointments to provider capacity and the ratio of the show-up rates for prescheduled and open-access appointments.

Original languageEnglish (US)
Pages (from-to)812-826
Number of pages15
JournalEuropean Journal of Operational Research
Volume183
Issue number2
DOIs
StatePublished - Dec 1 2007

Keywords

  • Advanced access
  • Appointment scheduling
  • No-show rate
  • OR in health service

ASJC Scopus subject areas

  • Information Systems and Management
  • Management Science and Operations Research
  • Statistics, Probability and Uncertainty
  • Applied Mathematics
  • Modeling and Simulation
  • Transportation

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