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Advisor(s)
Abstract(s)
Ao longo dos anos, o setor da saúde tem sido alvo de vários estudos, que face à complexidade
que o envolve, torna-se fértil para a exploração de diversas temáticas. Com esta dissertação
pretende fazer-se uma exploração da temática das tecnologias de informação e sistemas de
informação em saúde e concretamente a sua relação com a tomada de decisão clinica.
A margem de erro das organizações é mínima, no entanto, nas organizações de saúde, este
pressuposto assume um papel vital. Desta forma, tem-se como finalidade perceber quais as
ferramentas que poderão facilitar o desempenho dos profissionais médicos na ação da tomada
de decisão, permitindo uma redução, ao máximo, da incerteza e contribuindo para o sucesso
na gestão da organização.
Neste sentido, aborda-se a importância da informação e a necessidade da sua partilha e
tratamento, que poderá ser promovida pela interoperabilidade dos sistemas de informação
para uma tomada de decisão clinica sustentada.
O modelo proposto nesta investigação permite perceber que existe uma relação muito
significativa entre as tecnologias de informação, sistemas de informação, tratamento e
partilha de informação e tomada de decisão clinica. No entanto, esta relação não é aplicada à
realidade das organizações de saúde, devido à diversidade de arquiteturas dos sistemas de
informação e a incompatibilidade entre elas.
All over the years the health sector has been the subject of several surveys that due to the complexity that surrounds it had become fertile for the exploration of several topics. With this dissertation it is intended to make a thematic exploration of information technologies and information systems in health and in particular its relationship to clinic decision-making. There is a minimal error rate to the organizations however at health organizations this assumption plays a vital role. Therefore the priority is to understand which tools could facilitate the performance of doctors in decision-making allowing the maximum reduction of uncertainty and contributing to the success in the organization’s management. So it is discussed the importance of information and the need for its sharing and treatment which can be promoted by the interoperability of information systems for a supported clinical decision-making. The model proposed in this research allows to realize that there is a significant relationship between information technologies, information systems, processing and sharing of information and clinical decision-making. However, this relationship is not applied to the reality of the health organizations due to the diversity of information systems architecture and the incompatibility between them.
All over the years the health sector has been the subject of several surveys that due to the complexity that surrounds it had become fertile for the exploration of several topics. With this dissertation it is intended to make a thematic exploration of information technologies and information systems in health and in particular its relationship to clinic decision-making. There is a minimal error rate to the organizations however at health organizations this assumption plays a vital role. Therefore the priority is to understand which tools could facilitate the performance of doctors in decision-making allowing the maximum reduction of uncertainty and contributing to the success in the organization’s management. So it is discussed the importance of information and the need for its sharing and treatment which can be promoted by the interoperability of information systems for a supported clinical decision-making. The model proposed in this research allows to realize that there is a significant relationship between information technologies, information systems, processing and sharing of information and clinical decision-making. However, this relationship is not applied to the reality of the health organizations due to the diversity of information systems architecture and the incompatibility between them.
Description
Keywords
Interoperabilidade Sistemas de Informação Tecnologias de Informação Tomada de Decisão Clínica