Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/90440
Título: | Business Intelligence platform for COVID-19 Monitoring: A case study |
Autor(es): | Duarte, Ricardo Lopes, João Guimarães, Tiago André Saraiva Ferreira, Susana Santos, Manuel |
Palavras-chave: | Business Intelligence COVID-19 Healthcare ICU Intensive Care Monitoring |
Data: | 2023 |
Editora: | Springer, Cham |
Revista: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) |
Citação: | Duarte, 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/90440 |
ISBN: | 978-3-031-38203-1 |
e-ISBN: | 978-3-031-38204-8 |
DOI: | 10.1007/978-3-031-38204-8_4 |
ISSN: | 1867-8211 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-031-38204-8_4 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
Business_Intelligence_Platform_for_COVID-19_Monitoring_A_Case_Study.pdf | 539,97 kB | Adobe PDF | Ver/Abrir |