Abstract
The field of Biomedical research is currently one with the greatest social impact and publication volume, providing continuous advances and results which should, to a great extent, reach the general clinical practice. Similarly, direct clinical experience may offer experimental results and conclusions which may lead, guide and foster new investigations. However, this interaction between research and clinical practice is yet too far from being optimal. On one side, research results are published without standardization, suffering terminological issues, which prevent its automatic handling and great scale information treatment/management. On the other, for the practitioner, the task of reviewing papers, bibliography, experimental results, etc. in order to keep updated his everyday clinical practice, is very time consuming, causing not to be done continuously.
The implantation of Information Technologies in the biomedical research field has developed numerous search and bibliographic management resources, existing a current trend towards building and publishing open access terminologies, ontological knowledge models and big datasets with biomedical content. All together, beside Semantic Web technologies, methodologies and Linked Open Data and AI techniques, conforms a technological framework which gives the opportunity to bridge the gap between research and clinical practice to support the physician in evidence based decision making.
In this work, as a starting point to the final aim of linking research and clinical practice, we describe a Semantic Bibliographical Recommender System (SBRS) based on patient profile integrated with electronic health record (EHR) which, without closing the loop, offers to the medical professional the latest and most significant experimental evidences related to his concrete case study. The system’s functionality and utility is exemplified through real life psychiatric cases, assisted by an expert psychiatrist.
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Timón-Reina, S., Martínez-Tomás, R., Rincón-Zamorano, M., García-Sáiz, T., Díaz-López, E., Molina-Ruíz, R.M. (2013). SBRS: Bridging the Gap between Biomedical Research and Clinical Practice. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Models in Computation and Biology. IWINAC 2013. Lecture Notes in Computer Science, vol 7930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38637-4_20
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DOI: https://doi.org/10.1007/978-3-642-38637-4_20
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