Evaluating the Process Capability Ratio of Patients’ Pathways by the Application of Process Mining, SPC and RTLS

Sina Namaki Araghi, Franck Fontanili, Elyes Lamine, Nicolas Salatge, Julien Lesbegueries, Sebastien Rebiere Pouyade, Frederick Benaben

2019

Abstract

Learning how patients receive their health treatments is a critical mission for hospitals. To fulfill this task, this paper defines patients’ pathways as business process models and tries to apply process mining, real-time location systems(RTLS), and statistical process control (SPC) as a set of techniques to monitor patients’ pathways. This approach has been evaluated by a case study in a hospital living lab. These techniques analyze patients’ pathways from two different perspectives: (1)control-flow and (2)performance perspectives. In order to do so, we gathered the location data from movements of patients and used a proof of concept framework known as R.IO-DIAG to discover the processes. To elevate the performance analyses, this paper introduces the process capability ratio of the patients’ pathways by measuring the walking distance. The results lead to the evaluation of the quality of business processes.

Paper Citation

in Harvard Style

Namaki Araghi S., Fontanili F., Lamine E., Salatge N., Lesbegueries J., Rebiere Pouyade S. and Benaben F. (2019). Evaluating the Process Capability Ratio of Patients’ Pathways by the Application of Process Mining, SPC and RTLS. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF; ISBN 978-989-758-353-7, SciTePress, pages 302-309. DOI: 10.5220/0007380803020309

in Bibtex Style

@conference{healthinf19,
author={Sina Namaki Araghi and Franck Fontanili and Elyes Lamine and Nicolas Salatge and Julien Lesbegueries and Sebastien Rebiere Pouyade and Frederick Benaben},
title={Evaluating the Process Capability Ratio of Patients’ Pathways by the Application of Process Mining, SPC and RTLS},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF},
year={2019},
pages={302-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007380803020309},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF
TI - Evaluating the Process Capability Ratio of Patients’ Pathways by the Application of Process Mining, SPC and RTLS
SN - 978-989-758-353-7
AU - Namaki Araghi S.
AU - Fontanili F.
AU - Lamine E.
AU - Salatge N.
AU - Lesbegueries J.
AU - Rebiere Pouyade S.
AU - Benaben F.
PY - 2019
SP - 302
EP - 309
DO - 10.5220/0007380803020309
PB - SciTePress