Organizational processes in general and patient-care processes in particular, change over time. This may be in response to situations unpredicted by a predefined business process model (or clinical guideline), or as a result of new knowledge which has not yet been incorporated into the model. Process mining techniques enable capturing process changes, evaluating the gaps between the predefined model and the practiced process, and modifying the model accordingly. This position paper motivates the extension of process mining in order to capture not only deviations from the process model, but also the outcomes associated with them (e.g., patient improving or deteriorating). These should be taken into account when modifications to the process are made. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Peleg, M., Soffer, P., & Ghattas, J. (2008). Mining process execution and outcomes - Position paper. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4928 LNCS, pp. 395–400). https://doi.org/10.1007/978-3-540-78238-4_40
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