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

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.
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https://hal-mines-albi.archives-ouvertes.fr/hal-02521655
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Submitted on : Friday, March 27, 2020 - 3:20:19 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:44 PM

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Sina Araghi, Franck Fontanili, Elyes Lamine, Nicolas Salatge, Frederick Benaben. Interpretation of Patients’ Location Data to Support the Application of Process Mining Notations. HEALTHINF 2020 - 13th International Conference on Health Informatics, Feb 2020, Valletta, France. pp.472-481, ⟨10.5220/0008971104720481⟩. ⟨hal-02521655⟩

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