An exception-handling architecture for open electronic marketplaces of contract net software agents
Proceedings of the 2nd ACM conference on Electronic commerce
The Active Database Management System Manifesto: A Rulebase of ADBMS Features
RIDS '95 Proceedings of the Second International Workshop on Rules in Database Systems
GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines
Journal of Biomedical Informatics
A methodology for eliciting and modeling exceptions
Journal of Biomedical Informatics
Design patterns for clinical guidelines
Artificial Intelligence in Medicine
Patterns for collaborative work in health care teams
Artificial Intelligence in Medicine
A formal approach to the analysis of clinical computer-interpretable guideline modeling languages
Artificial Intelligence in Medicine
Towards an automated assistant for clinical investigations
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Reasoning with effects of clinical guideline actions using OWL: AL amyloidosis as a case study
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Ontology-driven execution of clinical guidelines
Computer Methods and Programs in Biomedicine
Supporting adaptive clinical treatment processes through recommendations
Computer Methods and Programs in Biomedicine
Argumentation logic for the flexible enactment of goal-based medical guidelines
Journal of Biomedical Informatics
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
Methodological Review: Computer-interpretable clinical guidelines: A methodological review
Journal of Biomedical Informatics
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Computer-interpretable guidelines (CIGs) aim to improve patient care and reduce medical errors. Although CIGs implement evidence-based recommendations they cannot prevent exceptional behavior from happening. To address this problem we developed a framework that can monitor, detect, and handle exceptions that occur during normal CIG execution and can potentially prevent them from developing into medical errors. Our framework enables specifying the goals of a guideline and linking them with recommended tasks that could satisfy the goals. Exceptions are linked with goals that manage them, which can be realized by tasks or plans. To achieve a link between the tasks, plans, goals, monitored effects, and exceptions, our definition of goals and exceptions is state-based. We demonstrate our approach using a generic plan for management of a chronic disease and a particular instantiation for hypertension management.