Abstract
In this paper we present a knowledge-based, Clinical Decision Support System (OncoTheraper2.0) that provides support to the full life-cycle of both clinical decisions and clinical processes execution in the field of pediatric oncology treatments. The system builds on a previous proof of concept devoted to demonstrate that Hierarchical Planning and Scheduling is an enabling technology to support clinical decisions. The present work describes new issues about the engineering process carried out in the development and deployment of the system in a hospital environment (supported by a knowledge engineering suite named IActive Knowledge Studio, devoted to the development of intelligent systems based on Smart Process Management technologies). New techniques that support the execution and monitoring of patient-tailored treatment plans, as well as, the adaptive response to exceptions during execution are described.
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Fdez-Olivares, J. et al. (2012). Task Network Based Modeling, Dynamic Generation and Adaptive Execution of Patient-Tailored Treatment Plans Based on Smart Process Management Technologies. In: Riaño, D., ten Teije, A., Miksch, S. (eds) Knowledge Representation for Health-Care. KR4HC 2011. Lecture Notes in Computer Science(), vol 6924. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27697-2_3
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DOI: https://doi.org/10.1007/978-3-642-27697-2_3
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