title: A process mining-based investigation of adverse events in care processes.
abstract: This paper proposes the Clinical Pathway Analysis Method (CPAM) approach that enables the extraction of valuable organisational and medical information on past clinical pathway executions from the event logs of healthcare information systems. The method deals with the complexity of real-world clinical pathways by introducing a perspective-based segmentation of the date-stamped event log. CPAM enables the clinical pathway analyst to effectively and efficiently acquire a profound insight into the clinical pathways. By comparing the specific medical conditions of patients with the factors used for characterising the different clinical pathway variants, the medical expert can identify the best therapeutic option. Process mining-based analytics enables the acquisition of valuable insights into clinical pathways, based on the complete audit traces of previous clinical pathway instances. Additionally, the methodology is suited to assess guideline compliance and analyse adverse events. Finally, the methodology provides support for eliciting tacit knowledge and providing treatment selection assistance.
authors.affiliation: Department of Decision Sciences and Information Management KU Leuven, BELGIUM.
authors.forename: Filip
authors.initials: F
authors.lastname: Caron
authors.affiliation: Department of Decision Sciences and Information Management KU Leuven, BELGIUM.
authors.forename: Jan
authors.initials: J
authors.lastname: Vanthienen
authors.affiliation: Department of Public Health & Primary Care KU Leuven, BELGIUM.
authors.forename: Kris
authors.initials: K
authors.lastname: Vanhaecht
authors.affiliation: Department of Radiation Oncology University Hospital Gasthuisberg KU Leuven, BELGIUM.
authors.forename: Erik
authors.initials: E
authors.lastname: Van Limbergen
authors.forename: Jochen
authors.initials: J
authors.lastname: Deweerdt
authors.affiliation: Department of Decision Sciences and Information Management KU Leuven, BELGIUM.
authors.forename: Bart
authors.initials: B
authors.lastname: Baesens
mesh_terms: D000465:Algorithms; D019091:Critical Pathways / Q000592:standards*; D057225:Data Mining; D006751:Hospital Information Systems / Q000592:standards*; D016247:Information Storage and Retrieval; D017064:Process Assessment, Health Care / Q000592:standards*