Abstract
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 customising method based on ontology and process mining. The method proposed is applied in customising process models for acute ischemic stroke treatment. During process model customisation, the method provides decision-making support for users, thereby ensuring a structurally correct process customisation and enabling improves patient treatment by means of recommendations.
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