Petri nets: an introduction
A Machine Learning Approach to Workflow Management
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Automating the Discovery of As-Is Business Process Models: Probabilistic and Algorithmic Approaches
Information Systems Research
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
Discovering Social Networks from Event Logs
Computer Supported Cooperative Work
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Conformance checking of processes based on monitoring real behavior
Information Systems
Automatic Extraction of Process Control Flow from I/O Operations
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Towards comprehensive support for organizational mining
Decision Support Systems
Information Systems
A novel approach for process mining based on event types
Journal of Intelligent Information Systems
Process Discovery using Integer Linear Programming
Fundamenta Informaticae - Petri Nets 2008
ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects
Editorial: Mining business process variants: Challenges, scenarios, algorithms
Data & Knowledge Engineering
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Mining staff assignment rules from event-based data
BPM'05 Proceedings of the Third international conference on Business Process Management
Mining medical specialist billing patterns for health service management
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
Embedding conformance checking in a process intelligence system in hospital environments
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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Business processes in dentistry are quickly evolving towards 'digital dentistry'. This means that many steps in the dental process will increasingly deal with computerized information or computerized half products. A complicating factor in the improvement of process performance in dentistry, however, is the large number of independent dental professionals that are involved in the entire process. In order to reap the benefits of digital dentistry, it is essential to obtain an accurate view on the current processes in practice. In this paper, so called process mining techniques are applied in order to demonstrate that, based on automatically stored data, detailed process knowledge can be obtained on dental processes, e.g. it can be discovered how dental processes are actually executed. To this end, we analyze a real case of a private dental practice, which is responsible for the treatment of patients (diagnosis, placing of implants and the placement of the final restoration), and the dental lab that is responsible for the production of the final restoration. To determine the usefulness of process mining, the entire process has been investigated from three different perspectives: (1) the control-flow perspective, (2) the organizational perspective and (3) the performance perspective. The results clearly show that process mining is useful to gain a deep understanding of dental processes. Also, it becomes clear that dental process are rather complex, which require a considerable amount of flexibility. We argue that the introduction of workflow management technology is needed in order to make digital dentistry a success.