Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study

Harry Beyel, Marlo Verket, Viki Peeva, Christian Rennert, Marco Pegoraro, Katharina Schütt, Wil van der Aalst, Nikolaus Marx

2024

Abstract

Process mining in healthcare presents a range of challenges when working with different types of data within the healthcare domain. There is high diversity considering the variety of data collected from healthcare processes: operational processes given by claims data, a collection of events during surgery, data related to pre-operative and post-operative care, and high-level data collections based on regular ambulant visits with no apparent events. In this case study, a data set from the last category is analyzed. We apply process-mining techniques on sparse patient heart failure data and investigate whether an information gain towards several research questions is achievable. Here, available data are transformed into an event log format, and process discovery and conformance checking are applied. Additionally, patients are split into different cohorts based on comorbidities, such as diabetes and chronic kidney disease, and multiple statistics are compared between the cohorts. Conclusively, we apply decision mining to determine whether a patient will have a cardiovascular outcome and whether a patient will die.

Paper Citation

in Harvard Style

Beyel H., Verket M., Peeva V., Rennert C., Pegoraro M., Schütt K., van der Aalst W. and Marx N. (2024). Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 506-515. DOI: 10.5220/0012392600003657

in Bibtex Style

@conference{healthinf24,
author={Harry Beyel and Marlo Verket and Viki Peeva and Christian Rennert and Marco Pegoraro and Katharina Schütt and Wil van der Aalst and Nikolaus Marx},
title={Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={506-515},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012392600003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study
SN - 978-989-758-688-0
AU - Beyel H.
AU - Verket M.
AU - Peeva V.
AU - Rennert C.
AU - Pegoraro M.
AU - Schütt K.
AU - van der Aalst W.
AU - Marx N.
PY - 2024
SP - 506
EP - 515
DO - 10.5220/0012392600003657
PB - SciTePress