How can information extraction ease formalizing treatment processes in clinical practice guidelines?
Artificial Intelligence in Medicine
Extraction and use of linguistic patterns for modelling medical guidelines
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
From medical guidelines to personalized careflows: The iCareflow ontological framework
CBMS '10 Proceedings of the 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
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Computer Interpretable Guidelines (CIG) have largely contributed to the simplification and dissemination of clinical guidelines. However, the formalization of CIG contents, especially care actions, is still an open issue. Actually, this information, which is the heart of the guideline, is still expressed as free text and therefore prevents the development of intelligent tools for assisting physicians defining treatments. In this paper, we introduce a framework for formalizing care actions using natural language processing techniques, Semantic Web technologies and medical standards.