title: Process mining for clinical workflows: challenges and current limitations.
abstract: Process mining is an emerging technology in the context of Business Process Management with the goal to derive process models from observed system behavior. The global goals are: to detect previously unknown process structures, to implement consistent process controlling which may involve computation of realistic cycle times and frequency of occurrence of process pathways, or to quantify the conformance to guidelines. We did a detailed hands-on evaluation and analysis of established process-mining approaches and assessed their abilities to cope with the challenges of clinical environments. None of the examined 7 approaches fulfilled all requirements, but 2 could be circle out, which are to some degree suitable for clinical process mining.
authors.affiliation: Medical Informatics, University Erlangen-Nuremberg, Germany. martin.lang@m-lang.de
authors.forename: Martin
authors.initials: M
authors.lastname: Lang
authors.forename: Thomas
authors.initials: T
authors.lastname: Bürkle
authors.forename: Susanne
authors.initials: S
authors.lastname: Laumann
authors.forename: Hans-Ulrich
authors.initials: HU
authors.lastname: Prokosch
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003625:Data Collection / Q000706:statistics & numerical data*; D017598:Efficiency, Organizational / Q000706:statistics & numerical data*; D006751:Hospital Information Systems / Q000706:statistics & numerical data*; D050316:Medical Order Entry Systems / Q000706:statistics & numerical data; D011873:Radiology Information Systems / Q000706:statistics & numerical data*; D012985:Software Design; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data