Appointment scheduling optimization for specialist outpatient services

C. K.M. Lee, K. K.H. Ng, M. C. Cheng

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Aging population and expecting a higher living standard in the developed countries cause demanding and high quality service in healthcare industry respectively. However, one of the customer requirement is to reduce the waiting time to see the doctor in the high demand of public medical. As a result, service appointment scheduling is the important issue. The poor medical service scheduling may lead to the complaints from patients on waiting time. Researchers tried to minimize the hospital explicit and implicit cost and maximize patient's satisfaction by adopting the appointment scheduling rules. The trade-off is considered in appointment scheduling problem. In general, solving appointment scheduling problem includes simulation and analytical method. The proposed approach allows hospital to take as a reference to further improve the appointment scheduling system. In this research, appointment scheduling optimization model with LINGO software using the exact algorithm is applied into the appointment scheduling problem for the outpatient clinic. The performance of the appointment scheduling optimization model is examined in difference case scenario and performance improvement is realized.

Original languageEnglish
Pages (from-to)876-883
Number of pages8
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Volume2018
Issue numberJUL
Publication statusPublished - 1 Jan 2018
Event2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 -
Duration: 26 Jul 201827 Jul 2018

Keywords

  • Appointment scheduling optimization model
  • Appointment scheduling problem
  • LINGO

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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