2 resultados para nuclear resonance, medical diagnostic, lung
em Repositório Científico da Universidade de Évora - Portugal
Resumo:
O relatório de estágio curricular do Mestrado Integrado em Medicina Veterinária, aqui apresentado, encontra-se dividido em quatro partes distintas. A primeira corresponde à descrição do local de estágio, a segunda engloba a descrição das atividades desenvolvidas com a compilação da respetiva casuística e a terceira consiste numa revisão de literatura sobre as principais áreas laboratoriais acompanhadas: Bioquímica, Hematologia e Urianálise. Na quarta e última parte é abordado um caso clínico de Leishmaniose Canina, acompanhado durante o período de estágio. Este foi realizado no Laboratório Inno, Serviços Especializados em Veterinária, Lda., localizado em Braga, Portugal e abrangeu a área de Diagnóstico Laboratorial Veterinário. A escolha do tema prendeu-se com o grande interesse pela área da Patologia Clínica, associado à sua enorme importância em Medicina Veterinária. No decorrer do estágio, foram solicitadas 29967 análises: 19437 bioquímicas, 2964 hematológicas e 1031 urianálises. Neste relatório pretende-se destacar a importância destas áreas na formulação do diagnóstico médico-veterinário; Laboratory diagnosis in dogs and cats Abstract: This report of my curricular training integrated in the Veterinary Medicine Master Degree of Évora University is divided in three distinctive sections. The first one covers the description of the place where I develop my work - INNO, a specialized Veterinary Laboratory focused mainly on small animal diagnosis, placed in Braga, Portugal; the second one comprise the casuistic and the third is a systematic review of the main laboratory areas of actuation – Biochemistry, Hematology and Urinalysis. The fourth section describes one case of Canine Leishmaniosis accompanied during the period of training. In this period the lab received 29967 analysis, including the following specific exams by areas: biochemistry (n=19437), hematology (n=2964) and urinalysis (n=1031). The purpose of this report is enunciate and evolve about the main and crucial areas of medical diagnostic in small animal practice.
Resumo:
Due to the high standards expected from diagnostic medical imaging, the analysis of information regarding waiting lists via different information systems is of utmost importance. Such analysis, on the one hand, may improve the diagnostic quality and, on the other hand, may lead to the reduction of waiting times, with the concomitant increase of the quality of services and the reduction of the inherent financial costs. Hence, the purpose of this study is to assess the waiting time in the delivery of diagnostic medical imaging services, like computed tomography and magnetic resonance imaging. Thereby, this work is focused on the development of a decision support system to assess waiting times in diagnostic medical imaging with recourse to operational data of selected attributes extracted from distinct information systems. The computational framework is built on top of a Logic Programming Case-base Reasoning approach to Knowledge Representation and Reasoning that caters for the handling of in-complete, unknown, or even self-contradictory information.