An integrated approach of multi-objective optimization model for evaluating new supporting program in irish hospitals

Wael Rashwan, Heba Habib, Amr Arisha, Garry Courtney, Sean Kennelly

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Hospitals are witnessing an inexorable growth in emergency admissions, which results in overcrowding and a poorer patient experience. The Acute Medicine Program (AMP) is one of the programs developed by the Irish health authority aimed at improving patient experience. To review the AMP intervention, this study applies a model that integrates three analytical approaches: simulation, multivariate factor analysis and multi-objective optimization. The simulation identified 14 different factors affecting five responses that were used to develop a Design of Experiments (DoE). Multivariate factor analysis used the DoE to determine the factors creating 'bottlenecks', such as downstream resources. The multi-objective optimization model, based on the Simulated Annealing approach, is applied to support management decisions on optimizing key parameters affecting the treatment journey of patients. A Pareto set of solutions found that an increase in downstream capacity and unit staff can lead to a 25% decrease at least in the patient's experience time.

Original languageEnglish
Title of host publicationProceedings of the 2016 Winter Simulation Conference
Subtitle of host publicationSimulating Complex Service Systems, WSC 2016
EditorsTheresa M. Roeder, Peter I. Frazier, Robert Szechtman, Enlu Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1904-1915
Number of pages12
ISBN (Electronic)9781509044863
DOIs
Publication statusPublished - 2 Jul 2016
Event2016 Winter Simulation Conference, WSC 2016 - Arlington, United States
Duration: 11 Dec 201614 Dec 2016

Publication series

NameProceedings - Winter Simulation Conference
Volume0
ISSN (Print)0891-7736

Conference

Conference2016 Winter Simulation Conference, WSC 2016
Country/TerritoryUnited States
CityArlington
Period11/12/1614/12/16

Keywords

  • emergency admissions
  • overcrowding
  • patient experience
  • Acute Medicine Program
  • simulation
  • multivariate factor analysis
  • multi-objective optimization
  • Design of Experiments
  • bottlenecks
  • downstream resources
  • Simulated Annealing
  • management decisions
  • Pareto set
  • downstream capacity
  • unit staff

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