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Robust Appointment Scheduling in Healthcare

Author

Listed:
  • Yuan Gao

    (International Business School, Shaanxi Normal University, Xi’an 710119, China)

  • Qian Zhang

    (International Business School, Shaanxi Normal University, Xi’an 710119, China)

  • Chun Kit Lau

    (Faculty of Business and Management, Beijing Normal University—Hong Kong Baptist University United International College, Zhu Hai 519000, China)

  • Bhagwat Ram

    (Centre for Digital Transformation, Indian Institute of Management Ahmedabad, Vastrapur, Ahmedabad 380015, India)

Abstract

The quality and experience of healthcare systems affect the economy and prosperity of cities all over the world. Governments of several countries are struggling to improve the efficiency of their healthcare systems and decrease healthcare spending costs. In this paper, we discuss one of the most critical and busy processes among healthcare topics: ambulatory care center (ACC) appointment scheduling systems. We investigate the appointment-scheduling issue using a robust optimization framework to minimize operational costs while ensuring the improvement of healthcare service quality. Our findings and insights provide healthcare practitioners with tools to improve operational efficiency and service quality.

Suggested Citation

  • Yuan Gao & Qian Zhang & Chun Kit Lau & Bhagwat Ram, 2022. "Robust Appointment Scheduling in Healthcare," Mathematics, MDPI, vol. 10(22), pages 1-15, November.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:22:p:4317-:d:975862
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    References listed on IDEAS

    as
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