PROCESS MINING IN HEALTHCARE - A Case Study

R. S. Mans, M. H. Schonenberg, M. Song, W. M. P. van der Aalst, P. J. M. Bakker

2008

Abstract

To gain competitive advantage, hospitals try to streamline their processes. In order to do so, it is essential to have an accurate view of the “careflows” under consideration. In this paper, we apply process mining techniques to obtain meaningful knowledge about these flows, e.g., to discover typical paths followed by particular groups of patients. This is a non-trivial task given the dynamic nature of healthcare processes. The paper demonstrates the applicability of process mining using a real case of a gynecological oncology process in a Dutch hospital. Using a variety of process mining techniques, we analyzed the healthcare process from three different perspectives: (1) the control flow perspective, (2) the organizational perspective and (3) the performance perspective. In order to do so we extracted relevant event logs from the hospitals information system and analyzed these logs using the ProM framework. The results show that process mining can be used to provide new insights that facilitate the improvement of existing careflows.

Paper Citation

in Harvard Style

S. Mans R., H. Schonenberg M., Song M., M. P. van der Aalst W. and J. M. Bakker P. (2008). PROCESS MINING IN HEALTHCARE - A Case Study . In Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 118-125. DOI: 10.5220/0001039201180125

in Bibtex Style

@conference{healthinf08,
author={R. S. Mans and M. H. Schonenberg and M. Song and W. M. P. van der Aalst and P. J. M. Bakker},
title={PROCESS MINING IN HEALTHCARE - A Case Study},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={118-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001039201180125},
isbn={978-989-8111-16-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)
TI - PROCESS MINING IN HEALTHCARE - A Case Study
SN - 978-989-8111-16-6
AU - S. Mans R.
AU - H. Schonenberg M.
AU - Song M.
AU - M. P. van der Aalst W.
AU - J. M. Bakker P.
PY - 2008
SP - 118
EP - 125
DO - 10.5220/0001039201180125