Integrated continuous healthcare team computer system architecture

José Jasnau Caeiro*, Henrique Oliveira, Margarida Goes, Manuel Lopes, César Fonseca

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

A computer-based pattern recognition system architecture destined to collect and process geographically referenced data about integrated continuous healthcare teams (ECCI) is presented and discussed in the chapter. These teams are part of Portugal's National Network of Integrated Continuous Care (RNCCI). The system is designed to collect data about the displacement of each team during healthcare assistance. The pattern recognition system handles information about the costs related to the provided healthcare. The architecture is designed around open source software resources. Virtual machines and container-based technologies provide hardware independence. The Python programming language ecosystem is chosen for all the main components of the system.

Original languageEnglish
Title of host publicationExploring the role of ICTs in healthy aging
EditorsDavid Mendes, César Fonseca, Manuel José Lopes, José García-Alonso, Juan Manuel Murillo
PublisherIGI Global Publishing
Pages231-246
Number of pages16
ISBN (Electronic)9781799819387
ISBN (Print)9781799819370
DOIs
Publication statusPublished - 31 May 2020

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