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dc.contributor.authorPoelmans, Jonas
dc.contributor.authorDedene, Guido (+)
dc.contributor.authorVerheyden, Gerda
dc.contributor.authorVan Der Mussele, Herman
dc.contributor.authorViaene, Stijn
dc.contributor.authorPeters, Edward M.
dc.date.accessioned2017-12-02T14:33:25Z
dc.date.available2017-12-02T14:33:25Z
dc.date.issued2010
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-642-14400-4_39
dc.identifier.urihttp://hdl.handle.net/20.500.12127/3610
dc.description.abstractHospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managing and improving the efficiency of care processes and quality of care. In this paper, we propose a synergy of process mining with data discovery techniques. In particular, we analyze a dataset consisting of the activities performed to 148 patients during hospitalization for breast cancer treatment in a hospital in Belgium. We expose multiple quality of care issues that will be resolved in the near future, discover process variations and best practices and we discover issues with the data registration system. For example, 25 % of patients receiving breast-conserving therapy did not receive the key intervention "revalidation”. We found this was caused by lowering the length of stay in the hospital over the years without modifying the care process. Whereas the process representations offered by Hidden Markov Models are easier to use than those offered by Formal Concept Analysis, this data discovery technique has proven to be very useful for analyzing process anomalies and exceptions in detail.
dc.language.isoen
dc.titleCombining business process and data discovery techniques for analyzing and improving integrated care pathways
dc.identifier.journalLecture notes in Computer Science
dc.source.volume6171
dc.source.beginpage505
dc.source.endpage517
dc.identifier.eissn1611-3349
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.knowledgedomainDigital Transformation
vlerick.typearticleJournal article
vlerick.vlerickdepartmentTOM
dc.identifier.vperid51528
dc.identifier.vperid117304
dc.identifier.vperid141017
dc.identifier.vperid19142
dc.identifier.vperid141324
dc.identifier.vperid76321
dc.identifier.vpubid4122


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