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Authors: Sina Namaki Araghi 1 ; Franck Fontanili 1 ; Elyes Lamine 1 ; Ludovic Tancerel 2 and Frédérick Benaben 1

Affiliations: 1 Ecole de Mines Albi-Carmaux, France ; 2 Maple High Tech, France

ISBN: 978-989-758-281-3

Keyword(s): Business Process Management, Process Mining, Real Time Location Systems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Data Management and Quality ; Data Manipulation ; Data Mining ; Data Visualization ; Databases and Information Systems Integration ; Enterprise Information Systems ; Evaluation and Use of Healthcare IT ; Health Information Systems ; Healthcare Management Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Purpose: This paper aims at introducing a generic approach for visualizing, analyzing and diagnosing patients’ pathways. This approach could be categorized as a business intelligence approach to extract knowledge for decision makers in healthcare organizations. The analyses provided by this approach are based on the location data which is being recorded in the information system (IS) by indoor-Real-Time Location Systems (RTLS). Findings: Healthcare organizations are getting more eager to learn from the execution of their processes. They seek different tools and approaches to analyze the processes and visualize the problems. This paper presents one of the possibilities to provide more understanding of process executions and it is based on the positions of the patients in the organization. Approach: Business intelligence approaches provide new technical and technological solutions for business analysts to improve the quality of products and services within organizations. The approach i n this work helps to visualize patients’ pathways and analyze them by associating real-time localization and process mining. This approach consists of four phases in which several functionalities have been defined. These phases are Data, Information, Awareness, and Governance (DIAG). Also, a case study has been designed to illustrate the DIAG approach. (More)

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Paper citation in several formats:
Namaki Araghi S., Fontanili F., Lamine E., Tancerel L. and Benaben F. (2018). Applying Process Mining and RTLS for Modeling, and Analyzing Patients’ Pathways .In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-281-3, pages 540-547. DOI: 10.5220/0006651605400547

@conference{healthinf18,
author={Sina Namaki Araghi and Franck Fontanili and Elyes Lamine and Ludovic Tancerel and Frédérick Benaben},
title={Applying Process Mining and RTLS for Modeling, and Analyzing Patients’ Pathways },
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2018},
pages={540-547},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006651605400547},
isbn={978-989-758-281-3},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Applying Process Mining and RTLS for Modeling, and Analyzing Patients’ Pathways
SN - 978-989-758-281-3
AU - Namaki Araghi S.
AU - Fontanili F.
AU - Lamine E.
AU - Tancerel L.
AU - Benaben F.
PY - 2018
SP - 540
EP - 547
DO - 10.5220/0006651605400547

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