title: Monitoring care processes in the gynecologic oncology department.
abstract: The care processes of healthcare providers are typically considered as human-centric, flexible, evolving, complex and multi-disciplinary. Consequently, acquiring an insight in the dynamics of these care processes can be an arduous task. A novel event log based approach for extracting valuable medical and organizational information on past executions of the care processes is presented in this study. Care processes are analyzed with the help of a preferential set of process mining techniques in order to discover recurring patterns, analyze and characterize process variants and identify adverse medical events.
authors.affiliation: Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, 3000 Leuven, Belgium. Electronic address: Filip.Caron@kuleuven.be.
authors.forename: Filip
authors.initials: F
authors.lastname: Caron
authors.affiliation: Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35/7001, 3000 Leuven, Belgium.
authors.forename: Jan
authors.initials: J
authors.lastname: Vanthienen
authors.affiliation: Department of Public Health and Primary Care, KU Leuven, Kapucijnenvoer 35/7001, 3000 Leuven, Belgium; Western Norway Research Network on Integrated Care, Helse Fonna, Haugesund, Norway; Dutch Institute for Healthcare Improvement (CBO), Churchillaan 11, 3527 GV, Utrecht, The Netherlands.
authors.forename: Kris
authors.initials: K
authors.lastname: Vanhaecht
authors.affiliation: Department of Radiation Oncology, University Hospital Gasthuisberg, KU Leuven, Herestraat 49/7003, 3000 Leuven, Belgium.
authors.forename: Erik Van
authors.initials: EV
authors.lastname: Limbergen
authors.affiliation: Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, 3000 Leuven, Belgium; Information Systems School, Science and Engineering Faculty, Queensland University of Technology, 2 George Street, Brisbane QLD 4000, Australia.
authors.forename: Jochen
authors.initials: J
authors.lastname: De Weerdt
authors.affiliation: Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, 3000 Leuven, Belgium; Vlerick Leuven Gent Management School, Vlamingenstraat 38, 3000 Leuven, Belgium; School of Management, University of Southampton, Highfield Southampton, SO17 1 BJ, United Kingdom.
authors.forename: Bart
authors.initials: B
authors.lastname: Baesens
mesh_terms: D003695:Delivery of Health Care; D005260:Female; D005831:Genital Diseases, Female / Q000628:therapy*; D006801:Humans; D008962:Models, Theoretical; D009369:Neoplasms / Q000628:therapy*
keywords: Care processes; Clinical pathways; Health information systems; Healthcare quality; Medical informatics; Process mining