Authors:
F. Rademaker
;
R. H. Bemthuis
;
J. Arachchige
and
F. A. Bukhsh
Affiliation:
University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands
Keyword(s):
Subpopulation Analysis, Process Mining, Healthcare Processes, Sepsis.
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 (PM2 HC) 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, fo
r in-depth analysis. Our findings indicate that various subpopulations exhibit different outcomes, offering promising directions for further research.
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