Computers in Industry - Special issue: Process/workflow mining
Real Time Business Intelligence for the Adaptive Enterprise
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
Conformance checking of processes based on monitoring real behavior
Information Systems
Petri Net Transformations for Business Processes --- A Survey
Transactions on Petri Nets and Other Models of Concurrency II
Improving the understanding of BAM technology for real-time decision support
International Journal of Business Information Systems
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Tangible media in process modeling: a controlled experiment
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Conformance Checking Using Cost-Based Fitness Analysis
EDOC '11 Proceedings of the 2011 IEEE 15th International Enterprise Distributed Object Computing Conference
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
The prom framework: a new era in process mining tool support
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Business Process Management: Concepts, Languages, Architectures
Business Process Management: Concepts, Languages, Architectures
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Process intelligence is an effective means to analyze and improve business processes in companies with high degree of automation. Hospitals are also facing high pressure to be profitable with ever decreasing available funds in a stressed healthcare sector, which calls for methods to enable process management and intelligent methods in their daily work. However, traditional process intelligence systems work with logs of execution data that is generated by workflow engines controlling the execution of a process. But the nature of the treatment processes requires the doctors to work with a high freedom of action, rendering workflow engines unusable in this context. In this paper, we introduce a novel method to conformance checking that computes fitness of individual activities in the setting of sparse process execution information, i.e., not all activities of a patient's treatment are logged. We embed this method into a process intelligence approach for hospitals without workflow engines, enabling process monitoring and analysis.