Analyzing Sepsis Treatment Variations in Subpopulations with Process Mining

F.M. Rademaker, R.H. Bemthuis, Jeewanie Jayasinghe, Faiza Allah Bukhsh

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Abstract

Healthcare processes frequently deviate from established treatment protocols due to unforeseen events and the complexities of illnesses. Many healthcare procedures do not account for variations in treatment paths across different diseases and patient subpopulations. Understanding the similarities and differences in treatment paths for different patient groups can provide valuable insights and potential process enhancements for various subgroups of concern. For hospitals, understanding various patient populations, such as severe or non-severe cases, is key for enhancing care paths. In this paper, we aim to compare treatment procedures for different subpopulations of patients using process mining techniques and identify indicators to improve the care path. We utilize the process mining for healthcare (PM 2HC) methodology to identify variations in treatment paths among different patient subgroups. We conducted a case study on sepsis, a complex illness with a wealth of available data, for in-depth analysis. Our findings indicate that various subpopulations exhibit different outcomes, offering promising directions for further research.

Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on Enterprise Information Systems
EditorsJoaquim Filipe, Michal Smialek, Alexander Brodsky, Slimane Hammoudi
PublisherSCITEPRESS
Pages85-94
Number of pages10
Volume1
ISBN (Electronic)9789897586927
ISBN (Print)978-989-758-692-7
DOIs
Publication statusPublished - 2024
Event26th International Conference on Enterprise Information Systems, ICEIS 2024 - Angers, France
Duration: 28 Apr 202430 Apr 2024
Conference number: 26

Publication series

NameInternational Conference on Enterprise Information Systems, ICEIS - Proceedings
Volume1
ISSN (Electronic)2184-4992

Conference

Conference26th International Conference on Enterprise Information Systems, ICEIS 2024
Abbreviated titleICEIS 2024
Country/TerritoryFrance
CityAngers
Period28/04/2430/04/24

Keywords

  • Subpopulation Analysis
  • Process Mining
  • Healthcare Processes
  • Sepsis

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