OncoTheraper: Clinical Decision Support for Oncology Therapy Planning Based on Temporal Hierarchical Tasks Networks

This paper presents the underlying technology of OncoTheraper, a Clinical Decision Support System for oncology therapy planning. The paper is focused on the representation of oncology treatment protocols by a temporally extended, Hierarchical Task Networks (HTN) based knowledge representation as well as their interpretation by a temporal HTN planning process. The planning process allows to obtain temporally annotated therapy plans that support decisions of oncologists in the area of paediatrics oncology. A proof on concept aimed to validate this technology is also described. In addition, a service oriented architecture that supports the decision services of the system is proposed.

[1]  Juan Fernández-Olivares,et al.  Bringing Users and Planning Technology Together. Experiences in SIADEX , 2006, ICAPS.

[2]  Thomas Dean,et al.  Automated planning , 1996, CSUR.

[3]  R Haux,et al.  On Educating about Medical Data Management , 2007, Methods of Information in Medicine.

[4]  John Fox,et al.  AI Planning Technology as a Component of Computerised Clinical Practice Guidelines , 2005, AIME.

[5]  Juan Carlos Augusto,et al.  Temporal reasoning for decision support in medicine , 2005, Artif. Intell. Medicine.

[6]  Juan Fernández-Olivares,et al.  Efficiently Handling Temporal Knowledge in an HTN Planner , 2006, ICAPS.

[7]  Paolo Traverso,et al.  Automated planning - theory and practice , 2004 .

[8]  Yue Cao,et al.  Total-Order Planning with Partially Ordered Subtasks , 2001, IJCAI.

[9]  Wil M. P. van der Aalst,et al.  Research Paper: A Pattern-based Analysis of Clinical Computer-interpretable Guideline Modeling Languages , 2007, J. Am. Medical Informatics Assoc..

[10]  James F. Allen Maintaining knowledge about temporal intervals , 1983, CACM.

[11]  John Fox,et al.  Comparing computer-interpretable guideline models: a case-study approach. , 2003, Journal of the American Medical Informatics Association : JAMIA.

[12]  Ari K. Jónsson,et al.  Activity Planning for the Mars Exploration Rovers , 2005, ICAPS.

[13]  Constantine D. Spyropoulos,et al.  AI planning and scheduling in the medical hospital environment , 2000, Artif. Intell. Medicine.

[14]  Syed Sibte Raza Abidi,et al.  Knowledge management in healthcare: towards 'knowledge-driven' decision-support services , 2001, Int. J. Medical Informatics.

[15]  Juan Fernández-Olivares,et al.  Temporal Enhancements of an HTN Planner , 2005, CAEPIA.

[16]  Maria Fox,et al.  PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains , 2003, J. Artif. Intell. Res..

[17]  T Y Leong,et al.  Section 5: Decision Support, Knowledge Representation and Management: Free and Open Source Enabling Technologies for Patient-Centric, Guideline-Based Clinical Decision Support: A Survey , 2007, Yearbook of Medical Informatics.

[18]  Yuval Shahar,et al.  An architecture for linking medical decision-support applications to clinical databases and its evaluation , 2009, J. Biomed. Informatics.

[19]  Silvia Miksch,et al.  Verification of temporal scheduling constraints in clinical practice guidelines , 2002, Artif. Intell. Medicine.

[20]  Yuval Shahar,et al.  A framework for a distributed, hybrid, multiple-ontology clinical-guideline library, and automated guideline-support tools , 2004, J. Biomed. Informatics.

[21]  Silvia Miksch,et al.  Environment-Driven Skeletal Plan Execution for the Medical Domain , 2006, ECAI.

[22]  Alessio Bottrighi,et al.  Towards a comprehensive treatment of repetitions, periodicity and temporal constraints in clinical guidelines , 2006, Artif. Intell. Medicine.