Conference ICL2009 September 23-25, 2009 Villach, Austria Context aware evidence based medicine retrieval using ubiquitous computing Ricardo Acosta-Díaz 1 , Juan Contreras-Castillo 1 , Luis G. Macias-Trejo 1 , Rebeca P. Díaz Redondo 2 , Araceli González-García 1 , Juan Antonio Guerrero Ibañez 1 , Juan Manuel Ramírez Alcaráz 1 1 Universidad de Colima, México. 2 Universidad de Vigo, España. Key words: Health Care, Ubiquitous Computing, Long Life Learning. Abstract: Health care professionals are extremely busy personnel who usually search, retrieve and interpret electronic medical records and literature based on previous cases to support their clinical decision-making. However, they must be very selective due to the increasing information overload. It is possible develop a system to classify this information and use it for training. The system could allow the users to introduce or delete information and also rate it, according to the situation or case that is presented to the trainees, and they could cross check this information. The system could be enriched daily with the information generated by participant doctors and hospitals. We have developed a prototype to retrieve medical information from the EMR and using the context in which the information was requested from the repository created to store the relevant documents related to the treatments using a PDA or similar device such as smart-phones, a tablet pc or laptops through wirelessly. 1 Introduction Health care professional usually search, retrieve and interpret medical records and literature based on previous cases to support their clinical decision-making. However, they must be very selective due to the increasing information overload in the form of scientific papers, medical practice guides, books, patient care notes and reports, just to mention some informative elements available to them and plus, all the different mediums used for their distribution, the search time increases. Moreover, the health care professionals are a group of extremely busy personnel, which reduces their available time to process, analyze and apply the information they are receiving to the context required by each patient. To establish an adequate context to apply this information, doctors base their recommendations in their own experience and in some cases they use other colleagues experience to help them decide the best course of action. However, this approach is not the best, because most of the time, to rely on not oneself or others experience without proper classification of the information and with a limited number of study cases, could lead to mistakes and become dangerous for patients health. But if develop a system to classify this information, we can use the information for training. The system could allow the users to introduce or delete information and also rate it, so that it is the most current and pertinent according to the situation or case that is presented to the trainees, and they could have the opportunity to cross check this information with the Electronic Medical Records of the patient, the context of application, laboratory results, previous research results and the document repository provided by the trainers. This provides a guide to trim down the cost associated to the health care professionals training and most of ICL 2009 Proceedings - Page 701