Research Article
Big Data in Healthcare Institutions: An Architecture Proposal
@INPROCEEDINGS{10.1007/978-3-031-33614-0_20, author={Jos\^{e} Lopes and Regina Sousa and Ant\^{o}nio Abelha and Jos\^{e} Machado}, title={Big Data in Healthcare Institutions: An Architecture Proposal}, proceedings={Big Data Technologies and Applications. 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings}, proceedings_a={BDTA}, year={2023}, month={5}, keywords={Big Data Healthcare Information Systems Real-Time Information System System Architecture}, doi={10.1007/978-3-031-33614-0_20} }- José Lopes
Regina Sousa
António Abelha
José Machado
Year: 2023
Big Data in Healthcare Institutions: An Architecture Proposal
BDTA
Springer
DOI: 10.1007/978-3-031-33614-0_20
Abstract
Healthcare institutions are complex organizations dedicated to providing care to the population. Continuous improvement has made the care provided a factor of excellence in the population, improving people’s daily lives and increasing average life expectancy. Even so, the resulting aging has caused patterns to increase day by day and the paradigm of medicine to shift from reaction to prevention. Often, the principle of evidence-based medicine is compromised by lack of evidence on pathogenic mechanisms, risk prediction, lack of resources, and effective therapeutic strategies. This is even more evident in pandemic situations. The current data management tools (centered in a single machine) do not have an ideal behavior for the processing of large amounts of information. This fact combined with the lack of sensitivity for the health area makes it imminent the need to create and implement an architecture that performs this management and processing effectively. In this sense, this paper aims to study the problem of knowledge construction from Big Data in health institutions. The main goal is to present an architecture that deals with the adversities of the big data universe when applied to health.
