Interpretation of Patients’ Location Data to Support the Application of Process Mining Notations

Sina Namaki Araghi, Franck Fontanili, Elyes Lamine, Nicolas Salatge, Frederick Benaben

2020

Abstract

The application of indoor localization and process mining emerges as an intriguing tool for the researchers to address the structural issues related to the patient pathways inside healthcare organizations. However, there is a major gap in the literature. This is related to the lack of enough attention to the interpretation of location data. Therefore, as a contribution, this article presents the DIAG meta-model and relevant location data interpretation rules. This model-driven approach has been realized in the context of the R-IOSUITE application and it supports the further analyses by the process mining methods.

Paper Citation

in Harvard Style

Araghi S., Fontanili F., Lamine E., Salatge N. and Benaben F. (2020). Interpretation of Patients’ Location Data to Support the Application of Process Mining Notations. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 472-481. DOI: 10.5220/0008971104720481

in Bibtex Style

@conference{healthinf20,
author={Sina Namaki Araghi and Franck Fontanili and Elyes Lamine and Nicolas Salatge and Frederick Benaben},
title={Interpretation of Patients’ Location Data to Support the Application of Process Mining Notations},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF},
year={2020},
pages={472-481},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008971104720481},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - Interpretation of Patients’ Location Data to Support the Application of Process Mining Notations
SN - 978-989-758-398-8
AU - Araghi S.
AU - Fontanili F.
AU - Lamine E.
AU - Salatge N.
AU - Benaben F.
PY - 2020
SP - 472
EP - 481
DO - 10.5220/0008971104720481
PB - SciTePress