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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fdez-Olivares, J., Cózar, J., Castillo, L.: Oncotheraper: Clinical Decision Support for Oncology Therapy Planning Based on Temporal Hierarchical Tasks Networks. In: Riaño, D. (ed.) K4HelP 2008. LNCS, vol. 5626, pp. 25–41. Springer, Heidelberg (2009)
Fdez-Olivares, J., Castillo, L., Cózar, J.A., Pérez, O.G.: Supporting clinical processes and decisions by hierarchical planning and scheduling. Computational Intelligence 27(1), 103–122 (2011)
Castillo, L., Fdez-Olivares, J., García-Pérez, O., Palao, F.: Efficiently handling temporal knowledge in an HTN planner. In: Proceeding of ICAPS 2006, pp. 63–72 (2006)
Nau, D., Mun̈oz-Avila, H., Cao, Y., Lotem, A., Mitchel, S.: Total-order planning with partially ordered subtask. In: Proceedings of the IJCAI 2001 (2001)
González-Ferrer, A., Fdez-Olivares, J., Sánchez-Garzón, I., Castillo, L.: Smart process management: automated generation of adaptive cases based on intelligent planning technologies. In: Proceedings of the Business Process Management 2010 Demonstration Track (2010)
Palao, F., Fdez-Olivares, J., Castillo, L., García, O.: An extended htn knowledge representation based on a graphical notation. Submitted to Workshop Knowledge Engineering for Planning and Scheduling, ICAPS 2011 (2011)
White, S.: Introduction to BPMN. IBM Cooperation, 2008–2029 (2004)
Booch, G., Rumbaugh, J., Jacobson, I.: The unified modeling language user guide. Addison Wesley Longman Publishing Co., Inc., Redwood City (1999)
Jouault, F., Allilaire, F., Bézivin, J., Kurtev, I.: Atl: A model transformation tool. Science of Computer Programming 72, 31–39 (2008)
Eclipse Modeling Framework Project (EMF): Ecore metamodel, http://www.eclipse.org/modeling/emf/?project=emf
Fox, M., Gerevini, A., Long, D., Serina, I.: Plan stability: Replanning versus plan repair. In: Proc. of ICAPS 2006, pp. 212–221 (2006)
Grando, A., Peleg, M., Glasspool, D.: A goal-oriented framework for specifying clinical guidelines and handling medical errors. Biomedical Informatics 43, 287–299 (2010)
Sacerdoti, E.: The nonlinear nature of plans. In: Proc. of IJCAI, pp. 206–214 (1975)
Isern, D., Moreno, A.: Computer-based execution of clinical guidelines: A review. Medical Informatics 77(12), 787–808 (2008)
Miller, K., MacCaull, W.: Toward web-based careflow management systems. Emerging Technologies in Web Intelligence 1(2), 137–145 (2009)
González-Ferrer, A., ten Teije, A., Fdez-Olivares, J., Milian, K.: Careflow Planning: From Time-Annotated Clinical Guidelines to Temporal Hierarchical Task Networks. In: Peleg, M., Lavrač, N., Combi, C. (eds.) AIME 2011. LNCS, vol. 6747, pp. 265–275. Springer, Heidelberg (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-27697-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27696-5
Online ISBN: 978-3-642-27697-2
eBook Packages: Computer ScienceComputer Science (R0)