About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Big Data Technologies and Applications. 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings

Research Article

Big Data in Healthcare Institutions: An Architecture Proposal

Cite
BibTeX Plain Text
  • @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
José Lopes1, Regina Sousa2,*, António Abelha2, José Machado2
  • 1: University of Minho, Gualtar Campus
  • 2: ALGORITMI Research Center, School of Engineering, University of Minho, Gualtar Campus
*Contact email: regina.sousa@algoritmi.uminho.pt

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.

Keywords
Big Data Healthcare Information Systems Real-Time Information System System Architecture
Published
2023-05-26
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-33614-0_20
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL