Modeling and evaluation of overbooking rules for primary health care clinic with different patient behavior

P. Fan, D. Fan, Y. H. Kuo, Y. Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The performance of primary health care clinic can be impacted by both of patient behavior and appointment rules. In this paper, we compare and evaluate the level of patient service and clinic performance of different overbooking appointment rules under changing patient behavior. The focus is on the appropriate selection of overbooking rules based on panel characteristics. Analysis methodology involves simulation modeling and design-of-experiment based statistical analysis. Our experimental results demonstrate that the selection of overbooking rule does play an important role in the clinic performance, and different patient behavior leads to the different selection of best rules.

Original languageEnglish
Title of host publication2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PublisherIEEE Computer Society
Pages861-865
Number of pages5
ISBN (Electronic)9781509036653
DOIs
Publication statusPublished - 27 Dec 2016
Externally publishedYes
Event2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia
Duration: 4 Dec 20167 Dec 2016

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
CountryIndonesia
CityBali
Period4/12/167/12/16

Keywords

  • appointment rules
  • Overbooking
  • patient no-shows
  • simulation

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Cite this