Evidence-based careflow management systems: the case of post-stroke rehabilitation
Journal of Biomedical Informatics
Guideline recommendation text disambiguation, representation and testing
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
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
Supporting adaptive clinical treatment processes through recommendations
Computer Methods and Programs in Biomedicine
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In this paper we describe a module that allows to collect (a) motivations for non-compliance to guidelines, (b) motivations for poor data entry into the electronic patient record, and (c) comments on medical aspects of guideline recommendations, on their formalisation into computerised rules, and on the guideline integration into the computerised clinical chart. We organised a well-structured taxonomy of non-compliance motivations in such a way that the main hierarchical levels correspond to different medical or technical roles suitable for feedback managing. We analysed about 400 consecutive cases of patients with ischemic stroke. About 40 non-compliances, as well as several incomplete data forms have been identified and motivated.