Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/90440

TítuloBusiness Intelligence platform for COVID-19 Monitoring: A case study
Autor(es)Duarte, Ricardo
Lopes, João
Guimarães, Tiago André Saraiva
Ferreira, Susana
Santos, Manuel
Palavras-chaveBusiness Intelligence
COVID-19
Healthcare
ICU
Intensive Care
Monitoring
Data2023
EditoraSpringer, Cham
RevistaLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST)
CitaçãoDuarte, R., Lopes, J., Guimarães, T., Ferreira, S., Santos, M.F. (2023). Business Intelligence Platform for COVID-19 Monitoring: A Case Study. In: Machado, J.M., Peixoto, H. (eds) AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities. AISCOVID 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 485. Springer, Cham. https://doi.org/10.1007/978-3-031-38204-8_4
Resumo(s)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 the Centro 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.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/90440
ISBN978-3-031-38203-1
e-ISBN978-3-031-38204-8
DOI10.1007/978-3-031-38204-8_4
ISSN1867-8211
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-031-38204-8_4
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Business_Intelligence_Platform_for_COVID-19_Monitoring_A_Case_Study.pdf539,97 kBAdobe PDFVer/Abrir

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID