On the 27th of September 2013 the EBMC-Cluster organized a national workshop with invited participants about the topic of "Clinical Process Analysis", concentrating on data based modeling and assessment of medical course of disease and treatment. Aim of the workshop was a national network and (first) exchange of experience to the corresponding topic.
Further information: Invitation, Photo Gallery, Summary/Conclusion
Contact: karl.anton.froeschl@univie.ac.at

Medical documentation about the state of health of patients and the medical benefits adduced by health service provider (physicians, hospitals, laboratories, medication, …) and received by the patients can be found within the healthcare area. Beside this medical documentation treatment guidelines in form of Standard Operation Procedures (SOPs) or clinical guidelines for particular illnesses exist.

In contrast to many projects and initiatives dealing with integrating patient oriented data the aim of this project is to analyze the illness and treatment processes of individual patients and identify typical treatment patterns using process mining methods. This approach is studied as a medical use case of the development and treatment of malignant illness of the skin. Because of a strong increase of incidents worldwide over the last 10 years as well as the special interest in evaluating measures for primary and secondary prevention this illness has been chosen.

The methodological view raises a series of interesting questions. In particular the question of classification of medical processes dependent on socio-demographic parameters like age or gender, the question of compliance of treatment processes with clinical guidelines (conformance), as well as a differentiated evaluation of the success of the treatment. Because such analysis requires high data quality the question of evaluation and improvement of process data quality - notably completeness and temporal comparability - is a fundamental topic of the project.

Another aim is answer the question how results of individual patient treatment processes  can be abstracted to epidemiological conclusions for the total population by using general health statistics data that then serves as a basis for health policy decisions.

Contact

Univ.-Prof. Dipl.-Math. Dr. Stefanie Rinderle-Ma

Faculty of Computer Science, Research Group Workflow Systems and Technology
University of Vienna

stefanie.rinderle-ma@univie.ac.at

 

 

a.o. Univ.-Prof. Dr. Harald Kittler

Department of Dermatology, Division of General Dermatology
Medical University of Vienna

harald.kittler@meduniwien.ac.at