Applying Evidence-Based Medicine in Telehealth: An Interactive Pattern Recognition Approximation

International Journal of Environmental Research and Public Health

Carlos Fernández-Llatas¹  Teresa Meneu¹  Vicente Traver¹ 

[1] 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; E-Mails:

关键词: evidence based medicine;    interactive pattern recognition;    personalized medicine;    clinical guidelines;    probabilistic model;   

DOI  :  10.3390/ijerph10115671

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.