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Applying process mining and semantic reasoning for process model customization in healthcare

Abstract : Process flexibility plays a key role in high variability environments, such as healthcare. In this type of environment, the process model needs to change some elements to adjust to specific sets of requirements. Thus, this paper proposes a process model customizing method based on ontology and process mining. The method proposed is applied in customizing process models for acute ischemic stroke treatment. During process model customization, the method provides decision-making support for users, thereby ensuring a structurally correct process customization and enabling improves patient treatment by means of recommendations.
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https://hal.archives-ouvertes.fr/hal-02155320
Contributor : Hervé Panetto Connect in order to contact the contributor
Submitted on : Thursday, June 13, 2019 - 2:51:02 PM
Last modification on : Wednesday, November 3, 2021 - 7:56:30 AM

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Silvana Pereira Detro, Eduardo Alves Portela Santos, Hervé Panetto, Eduardo Loures de Freitas, Mario Lezoche, et al.. Applying process mining and semantic reasoning for process model customization in healthcare. Enterprise Information Systems, Taylor & Francis, 2020, 14 (7), pp.983-1009. ⟨10.1080/17517575.2019.1632382⟩. ⟨hal-02155320⟩

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