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Computer-interpretable guidelines in decision support systems: creation and editing of clinical protocols for automatic Interpretation

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Resumo:Currently in the health sector there is a growing need to standardize and promote the improvement of clinical practice in order to reduce costs, which requires a solution that will allow these goals to be more easily achieved. To this end, the solution that gathers the current interest is the use of clinical protocols and promoting conformity with practices contained in them. Clinical protocols aim to improve the quality of the clinical process, reducing variations in clinical practice and reducing health care costs. In order to be effective, these parameters must be integrated into the care flow and provide specific advice to a patient, regardless of time or place. Thus, their formalization as Computer-Interpretable Guidelines (CIG) makes possible the development of decision support systems based on CIGs, which may have a greater impact on the behavior of health professionals. However, the absence of a general pattern in terms of CIG often hinders progress in the development of these systems. Currently available tools for creating and editing clinical protocols for automatic interpretation are not functional or user-friendly. Most of them are academic projects developed in obsolete languages. As a means to solve this issue, this dissertation project presents an user-friendly tool that manages the creation and editing of CIGs, without requiring the user to have programming knowledge, and through the use of interfaces that are simple and intuitive.
Autores principais:Gonçalves, Filipe Manuel Carvalho Rodrigues Bravo
Assunto:Artificial intelligence in medicine Clinical decision support system Clinical protocols Computer-interpretable guidelines Inteligência artificial em medicina Sistema de apoio à decisão clínica Protocolos clínicos Guiões computer-interpretable Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
Ano:2016
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho

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