A modular approach for representing and executing clinical guidelines
Artificial Intelligence in Medicine
Extraction and use of linguistic patterns for modelling medical guidelines
Artificial Intelligence in Medicine
Maintaining Formal Models of Living Guidelines Efficiently
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
A Study of Applying Knowledge Modelling to Evidence-Based Guidelines
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Design patterns for clinical guidelines
Artificial Intelligence in Medicine
Supporting the abstraction of clinical practice guidelines using information extraction
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Identifying treatment activities for modeling computer-interpretable clinical practice guidelines
KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
Updating a protocol-based decision-support system's knowledge base: a breast cancer case study
KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
Domain experts tailoring interaction to users - an evaluation study
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Technical solutions for integrating clinical practice guidelines with electronic patient records
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
Medical protocol diagnosis using formal methods
FHIES'11 Proceedings of the First international conference on Foundations of Health Informatics Engineering and Systems
Towards user-authored agent dialogues for assessment in personalised ambient assisted living
International Journal of Web Engineering and Technology
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Clinical guidelines are important means to improve quality of health care while limiting cost and supporting the medical staff. They are written as free text with tables and figures. Transforming them into a formal, computer-processable representation is a difficult task requiring both computer scientist skills and medical knowledge. To bridge this gap, we designed an intermediate representation (or ontology) which serves as a mediator between the original text and different formal guideline representations. It is easier to use than the latter, structures the original prose and helps to spot missing information and contradictions. In this paper we describe the representation and a practical evaluation thereof through the modelling of a real-world clinical guideline.