A Review on the Implementation of System Modelling Techniques in Lean Healthcare Applications

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

4 Scopus citations

Abstract

Healthcare systems are under enormous pressure to improve efficiency and quality of care due to increasing cost and demand. To address such challenges, there is an increasing awareness on the utilization of lean tools in healthcare settings aimed at minimizing wastes in operational processes. A potential approach that can be integrated with lean tools is System Modelling Techniques (SMTs), to help identify comprehensive list of wastes in a systematic way. To investigate the relationship between lean tools and SMTs, this paper reviews the literature in the field and provides a conceptual framework for potential link between these two complementary approaches. The results of the proposed framework is quite valuable for healthcare quality and process improvement managers.

Original languageBritish English
Title of host publication2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PublisherIEEE Computer Society
Pages1578-1582
Number of pages5
ISBN (Electronic)9781728138046
DOIs
StatePublished - Dec 2019
Event2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019 - Macao, Macao
Duration: 15 Dec 201918 Dec 2019

Publication series

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

Conference

Conference2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Country/TerritoryMacao
CityMacao
Period15/12/1918/12/19

Keywords

  • Healthcare systems
  • kaizen
  • lean
  • process mapping
  • system modelling techniques

Fingerprint

Dive into the research topics of 'A Review on the Implementation of System Modelling Techniques in Lean Healthcare Applications'. Together they form a unique fingerprint.

Cite this