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Erol, Selim; Granitzer, Michael; Happ, Simone; Jantunen, Sami; Jennings, Ben; Johannesson, Paul; Koschmider, Agnes; Nurcan, Selmin; Rossi, Davide; Schmidt, Rainer

doi:10.1002/smr.v22:6/7

Cited by 36 publications

(2 citation statements)

References 142 publications

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“…One of these options, known as multi-model, refers to keeping the process variants separate in a repository. However, this may be expensive and inefficient, as each process variant must be developed from scratch (Ayora et al, 2013b;Hallerbach, Bauer and Reichert, 2010a).…”

Section: Process Variabilitymentioning

confidence: 99%

“…Building the customized process model through process mining is a way to guarantee that the process model is capable of representing all application contexts. In addition, it allows to define the decision points and the requirements for selecting each alternative (Hallerbach, Bauer, & Reichert, 2010a;Gottschalk et al, 2009). Process mining consists in analyzing event logs in order to obtain the process model, enabling deviations checks, process model improvements, etc.…”

Section: Introductionmentioning

confidence: 99%

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

Detro

Santos

Panetto

et al. 2019

Enterprise Information Systems

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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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Section: Process Variabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%