Framework for clinical data visualization based on open-source software

• Autor(a) principal: Sacchetti, Rui Maia Barreto
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/24939
• topic: Data analysis; Information visualisation; Business Intelligence; Knowledge management in healthcare

Healthcare providers are faced with the challenge of going through large amounts of data in search of answers to complex questions. On top of that, medical sta typically don't have database knowledge, and so, it is necessary to provide them with tools that allows the visualization of reports, charts and dashboards, without having to interact or even see query languages, ideally on the same platforms where data is generated. Embedding Business Intelligence (BI) has emerged as a possible solution to this issue, providing end-user with tools that enables them to explore data in a simpli ed way. Thus, the application where the solution was embedded not only is enhanced, but the necessity for data analysis stand-alone tools is eliminated. This thesis starts by analyzing if integrating a BI solution into medical platforms is plausible, by presenting the main characteristics of clinical data, followed by an overview of the state of the art on open-source Business Intelligence software. Then, a solution proposal is presented where the development of an embedded solution is pragmatically addressed. Finally, case studies where the integration of the work developed was integrated will be presented, in order to evaluate its applicability and integrability.