Abstract
Duration constraints are among the most subtle and important aspects of clinical practice. When designing healthcare processes, it is important to incorporate such constraints into process diagrams and to provide suitable mechanisms for managing their violations during process run-time. Nonetheless, the Business Process Model and Notation (BPMN 2.0) fails in providing proper support for duration constraint modeling. In this paper, we propose a set of BPMN patterns to foster the modeling and management of shifted duration, that constitutes an unexplored kind of duration constraints, recurrent in medical practice. Specifically, this constraint is suitable for dealing with the real-time adjustments required by pharmacological therapies and monitoring tasks.
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Combi, C., Oliboni, B., Zerbato, F. (2017). Towards Dynamic Duration Constraints for Therapy and Monitoring Tasks. In: ten Teije, A., Popow, C., Holmes, J., Sacchi, L. (eds) Artificial Intelligence in Medicine. AIME 2017. Lecture Notes in Computer Science(), vol 10259. Springer, Cham. https://doi.org/10.1007/978-3-319-59758-4_25
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DOI: https://doi.org/10.1007/978-3-319-59758-4_25
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