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Applying Evidence-Based Medicine in Telehealth: An Interactive Pattern Recognition Approximation
Instituto Universitario de Investigación de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera S/N, Valencia 46022, Spain
Instituto Tecnológico de Informática (ITI), Universitat Politècnica de Vaència, Camino de Vera S/N, Valencia 46022, Spain
* Author to whom correspondence should be addressed.
Received: 12 September 2013; in revised form: 23 October 2013 / Accepted: 24 October 2013 / Published: 31 October 2013
Abstract: Born in the early nineteen nineties, evidence-based medicine (EBM) is a paradigm intended to promote the integration of biomedical evidence into the physicians daily practice. This paradigm requires the continuous study of diseases to provide the best scientific knowledge for supporting physicians in their diagnosis and treatments in a close way. Within this paradigm, usually, health experts create and publish clinical guidelines, which provide holistic guidance for the care for a certain disease. The creation of these clinical guidelines requires hard iterative processes in which each iteration supposes scientific progress in the knowledge of the disease. To perform this guidance through telehealth, the use of formal clinical guidelines will allow the building of care processes that can be interpreted and executed directly by computers. In addition, the formalization of clinical guidelines allows for the possibility to build automatic methods, using pattern recognition techniques, to estimate the proper models, as well as the mathematical models for optimizing the iterative cycle for the continuous improvement of the guidelines. However, to ensure the efficiency of the system, it is necessary to build a probabilistic model of the problem. In this paper, an interactive pattern recognition approach to support professionals in evidence-based medicine is formalized.
Keywords: evidence based medicine; interactive pattern recognition; personalized medicine; clinical guidelines; probabilistic model
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MDPI and ACS Style
Fernández-Llatas, C.; Meneu, T.; Traver, V.; Benedi, J.-M. Applying Evidence-Based Medicine in Telehealth: An Interactive Pattern Recognition Approximation. Int. J. Environ. Res. Public Health 2013, 10, 5671-5682.
Fernández-Llatas C, Meneu T, Traver V, Benedi J-M. Applying Evidence-Based Medicine in Telehealth: An Interactive Pattern Recognition Approximation. International Journal of Environmental Research and Public Health. 2013; 10(11):5671-5682.
Fernández-Llatas, Carlos; Meneu, Teresa; Traver, Vicente; Benedi, José-Miguel. 2013. "Applying Evidence-Based Medicine in Telehealth: An Interactive Pattern Recognition Approximation." Int. J. Environ. Res. Public Health 10, no. 11: 5671-5682.