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AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities. Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings

Research Article

Business Intelligence Platform for COVID-19 Monitoring: A Case Study

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-38204-8_4,
        author={Ricardo Duarte and Jo\"{a}o Lopes and Tiago Guimar\"{a}es and Susana Ferreira and Manuel Filipe Santos},
        title={Business Intelligence Platform for COVID-19 Monitoring: A Case Study},
        proceedings={AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities. Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings},
        proceedings_a={AISCOVID-19},
        year={2023},
        month={7},
        keywords={Business Intelligence COVID-19 Healthcare Monitoring ICU Intensive Care},
        doi={10.1007/978-3-031-38204-8_4}
    }
    
  • Ricardo Duarte
    João Lopes
    Tiago Guimarães
    Susana Ferreira
    Manuel Filipe Santos
    Year: 2023
    Business Intelligence Platform for COVID-19 Monitoring: A Case Study
    AISCOVID-19
    Springer
    DOI: 10.1007/978-3-031-38204-8_4
Ricardo Duarte1, João Lopes1, Tiago Guimarães1,*, Susana Ferreira, Manuel Filipe Santos1
  • 1: ALGORITMI/LASI
*Contact email: tsg@dsi.uminho.pt

Abstract

With the emergence of the COVID-19 virus, the need to effectively and flexibly plan and manage the measures to be applied within a Healthcare institution has become imperative. New knowledge about the disease and legislative changes arose frequently and with high impacts on clinical practice and management.

The platform developed under this case study aggregates data from multiple sources within the Healthcare Institution and also from external entities, such as clinical analysis laboratories. Thus, it provides a set of dashboards that seeks to present in a simple and intuitive way, data analysis ranging from COVID tests and their results, bed occupancy, with an exceptional focus in occupancy in Intensive Care Units, to monitoring the positive movements of COVID patients in theCentro Hospitalar e Universitário do Porto(CHUP), in almost real time.

The development of this data collection, analysis and demonstration platform was created in response to a critical need for reliable information so that clinical and management decisions could be supported by solid foundations based on facts and current and reliable data.

Keywords
Business Intelligence COVID-19 Healthcare Monitoring ICU Intensive Care
Published
2023-07-30
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-38204-8_4
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