HTN planning: complexity and expressivity
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Maintaining knowledge about temporal intervals
Communications of the ACM
Business Process Coordination: State of the Art, Trends, and Open Issues
Proceedings of the 27th International Conference on Very Large Data Bases
UCTx: A Multi-Agent System to Assist a Transplant Coordination Unit
Applied Intelligence
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Managing exceptions in the medical workflow systems
Proceedings of the 28th international conference on Software engineering
Plan management in the medical domain
AI Communications
Conceptual Modeling of Temporal Clinical Workflows
TIME '07 Proceedings of the 14th International Symposium on Temporal Representation and Reasoning
Journal of Biomedical Informatics
Expert Systems with Applications: An International Journal
HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis
Applied Intelligence
A methodology for eliciting and modeling exceptions
Journal of Biomedical Informatics
PDDL2.1: an extension to PDDL for expressing temporal planning domains
Journal of Artificial Intelligence Research
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Business process management: a survey
BPM'03 Proceedings of the 2003 international conference on Business process management
Journal of Biomedical Informatics
Prototype-based management of business process exception cases
Applied Intelligence
Agent-based execution of personalised home care treatments
Applied Intelligence
A novel case based reasoning approach to radiotherapy planning
Expert Systems with Applications: An International Journal
A Holistic Environment for the Design and Execution of Self-Adaptive Clinical Pathways
IEEE Transactions on Information Technology in Biomedicine
Artificial Intelligence in Medicine
Guideline-based careflow systems
Artificial Intelligence in Medicine
A resource enhanced HTN planning approach for emergency decision-making
Applied Intelligence
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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There is need for software systems in order to coordinate the activities of healthcare professionals involved in the treatment of a patient, aligning the care delivery around already existing Clinical Practice Guidelines (CPGs). This is being carried out in care organizations by implementing integrated Care Pathways (CPs). Nonetheless, the generation of these care pathways is not trivial, and multiple barriers exist for their development and enactment. In this paper, a knowledge-based architecture is presented that, by means of Knowledge Engineering methods and Artificial Intelligence Planning and Scheduling (AI P&S) techniques, is able to automatically generate these care pathways from a computer-interpretable representation of CPGs, tackling some of these barriers. Firstly, these techniques consider the patient profile, the care organization details as well as the temporal and resource constraints, implicit in a care process, in order to generate a patient-focused care pathway. Moreover, they also allow the enactment of personalized care plans in a web-based format, powered by a workflow runtime engine, thus providing an ubiquitous and interactive execution to healthcare professionals. Finally, the architecture also includes monitoring and replanning techniques in order to check the current health status of patients and adapt care plans when they do not progress as expected. For the experimental evaluation of the architecture, several tests have been carried out in order to simulate a clinical environment where different care plans were automatically executed, monitored and adapted regarding the health conditions of patients as well as the recommendations specified in a real, CPG of the paediatric oncology area. As conclusion, the proposed architecture seems to be an adequate infrastructure for supporting the automated generation as well as the interactive execution and monitoring of patient-focused care pathways.