A mixed integer programming model for patient appointment in an infusion center

Mona Issabakhsh, Seok Gi Lee, Hyojung Kang

Research output: Contribution to conferencePaper

Abstract

Infusion centers in hospitals are experiencing higher demand, resulting in substantially long patient wait times. Also, scheduling chemotherapy is not a straightforward task due to several factors such as constraints on patient appointments for infusion and doctor visits. Limited resource capacity in an infusion center and physician unavailability are also important factors that increase appointment scheduling complexity. In this study, we develop a Mixed-Integer Programming (MIP) model based on real work flow data of an infusion center and generate balanced appointment schedules for chemotherapy. The aim of the proposed model is to reduce patient's wait times and the makespan which will improve the satisfaction levels for timely services and will bring more balanced resource utilization, resulting in cost reduction.

Original languageEnglish (US)
Pages1090-1095
Number of pages6
StatePublished - Jan 1 2018
Event2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018 - Orlando, United States
Duration: May 19 2018May 22 2018

Other

Other2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018
CountryUnited States
CityOrlando
Period5/19/185/22/18

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Keywords

  • Mixed-integer programming
  • Patient waiting times
  • Scheduling chemotherapy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Issabakhsh, M., Lee, S. G., & Kang, H. (2018). A mixed integer programming model for patient appointment in an infusion center. 1090-1095. Paper presented at 2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018, Orlando, United States.