Development of an instrument measuring user satisfaction of the human-computer interface
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Varieties of knowledge elicitation techniques
International Journal of Human-Computer Studies
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Jena: implementing the semantic web recommendations
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics)
Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics)
Executing medical guidelines on the web: Towards next generation healthcare
Knowledge-Based Systems
Metaphors of movement: a visualization and user interface for time-oriented, skeletal plans
Artificial Intelligence in Medicine
Knowledge-based verification of clinical guidelines by detection of anomalies
Artificial Intelligence in Medicine
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Decision support in medicine is being more and more configured as an innovative and valuable way for promoting more consistent, effective, and efficient medical practices. The broad acceptance and efficient application of Decision Support Systems to medical settings strongly require some mechanisms to conveniently update and handle these systems with respect to medical progress or adaptation in the treatment of individual diseases. In this respect, this paper proposes a pattern-based knowledge editing system to guide and assist the creation and formalization of condition-action clinical recommendations to be used in knowledge-based Decision Support Systems (in the following, DSSs). This system has been devised with the aim of: (i) offering a set of patterns for easily inserting and editing such clinical recommendations; (ii) synergistically combining multiple knowledge representation techniques to instantiate these patterns within hybrid knowledge bases (KBs), made of if-then rules built on the top of ontological vocabularies; (iii) reducing the complexity of the formalization process, by graphically guiding the definition of hybrid KBs that could be functional in the context of clinical DSSs and enabling their automatic encoding into machine executable languages. A usability evaluation has been carried out, showing a good satisfaction of medical users with respect to the system implemented, and, thus, proving both the feasibility and usefulness of the approach proposed.