Stud Health Technol Inform
March 2016
Post-coordination provides the means to achieve an appropriate content coverage, which is critical in successfully adopting clinical reference terminologies, and thus represent clinical information consistently. However, one of the major problems of post-coordination corresponds with ensuring only clinically sensible concepts can be constructed. In this poster, we present the development of a novel approach to generate a MRCM computationally, in order to facilitate the adherence to the existing guidelines and improve the quality of post-coordination in SNOMED CT.
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December 2016
Of all the potential barriers to a successful Electronic Health Record (EHR) adoption, the importance of training is often underestimated, potentially jeopardizing the implementation. Following best practices recommendations, we designed and implemented a comprehensive EHR training framework. The aim of this poster is to describe our experience with such a framework in the implementation of our home-grown Emergency Department Information System (EDIS), report lessons learned and provide recommendations for other institutions facing EHR adoptions in Chile and Latin America.
View Article and Find Full Text PDFIn view of the benefits yielded by the Terminology Server running in the Healthcare Information System of Hospital Italiano de Buenos Aires, the Institution implemented all the necessary changes in order to offer such services to other health-care institutions, using the Internet as communication vehicle. Megasalud is the most integrated healthcare network of Chile and decided to change their legacy system and develop their own Healthcare Information System and started to use Remote Terminology Services. After the implementation of these Terminology Services we tested the performance for identifying free text added in their electronic health record.
View Article and Find Full Text PDFIn this paper, we describe a system that provides drug side-effect data for use as a component in service-oriented architectures. Our system uses "Web 2.0" techniques to collect data from a variety of public sources, and can provide its output in a variety of human languages (e.
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