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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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Published on: April 11, 2018

Optimal outpatient appointment scheduling.

Guido C Kaandorp1, Ger Koole

  • 1Department of Epidemiology & Biostatistics, Erasmus Medical Center, Rotterdam, The Netherlands.

Health Care Management Science
|August 19, 2007
PubMed
Summary

This study introduces an optimal outpatient appointment scheduling method using a local search procedure. It minimizes patient wait times, doctor idle time, and lateness, even with patient no-shows.

Area of Science:

  • Operations Research
  • Healthcare Management
  • Applied Mathematics

Background:

  • Effective outpatient appointment scheduling is crucial for healthcare efficiency.
  • Traditional scheduling models often struggle with patient no-shows and optimizing multiple objectives.
  • Minimizing patient wait times, provider idle time, and lateness are key performance indicators.

Purpose of the Study:

  • To develop and analyze an optimal outpatient appointment scheduling algorithm.
  • To incorporate patient no-shows into the scheduling optimization process.
  • To identify scheduling rules that minimize a weighted objective function.

Main Methods:

  • A local search procedure was developed to find optimal appointment schedules.
  • The objective function minimized a weighted average of patient waiting times, doctor idle time, and patient tardiness.

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  • The model accounts for the possibility of patient no-shows.

    • Main Results:

    • The local search procedure converges to an optimal schedule.
    • The derived optimal schedule balances patient and provider needs.
    • Under specific parameter conditions, the Bailey-Welch rule emerged as the optimal scheduling strategy.

    Conclusions:

    • The proposed local search method provides an effective approach for optimal outpatient scheduling.
    • The study demonstrates that optimal schedules can be achieved even with unpredictable patient no-shows.
    • The findings offer practical insights for improving clinic efficiency and patient satisfaction.