Abstract
Clinical guidelines enable best medical evidence transfer to where best practice is needed. Although technology is considered the best way to reach this goal, the desired results have not been achieved yet.
In this work, we introduce a technological platform that allows the definition of guidelines including complementary information required by users. It is also ca-pable of generating platform-independent executable versions, thus improving the profitability of the undertaken effort. The systematisation of development using Model-Driven Development methods facilitates adaptation to changes and con-tinuous improvement of quality in both guidelines and infrastructure.
Developed guidelines, together with their browsable graphical representation, are made available to health professionals through our Web Portal e-GuidesMed.
After evaluating our guideline implementations on Rare and respiratory dis-eases, independent experts have emphasised their usefulness in daily practice and how valuable the technology is for supporting the development of new guidelines.
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Pikatza, J.M. et al. (2010). Towards an Effective Knowledge Translation of Clinical Guidelines and Complementary Information. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_53
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DOI: https://doi.org/10.1007/978-3-642-14883-5_53
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