Please use this identifier to cite or link to this item:

TitleAn agent-based RFID monitoring system for healthcare
Author(s)Marins, Fernando de Abreu
Cardoso, Luciana Almeida
Esteves, Marisa Araújo
Machado, José Manuel
Abelha, António
KeywordsAmbient intelligence
Intensive care unit
Monitoring systems
Multi-agent systems
Prevention systems
Issue dateJan-2017
PublisherSpringer International Publishing
JournalAdvances in Intelligent Systems and Computing
Abstract(s)In the last years, with the progressive expansion of Healthcare Information Systems (HISs), the healthcare platforms for interoperability and monitoring systems have become increasingly more vital sources of clinical information. In this context, in Centro Hospitalar do Porto (CHP), the INTCare system was developed with the purpose to create new useful knowledge for deci sion support in real-time. It is an unquestionable potential area to develop effective systems for the prediction of clinical events, including Decision Support Systems (DSSs), for organ failure and death in Intensive Care. The INTCare uses multiple data sources that are collected at the bedside. However, this system fails on the recognition of the patient absence in bed. Thereby, this problem led to the devel opment of the Patient Localization and Management System (PaLMS), i.e., a RFID localization and monitoring system. Thus, this paper describes the PaLMS Intelligent Multi-Agent System for the integration of PaLMS into the hospital platform for Interoperability, Diffusion and Archive – Agency for Integration, Diffusion and Archive of Medical Information (AIDA) platform. On the other hand, a failure prevention system that actuates in the PaLMS agents, improving their availability, is also presented and thoroughly discussed.
TypeConference paper
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters

Files in This Item:
File Description SizeFormat 
  Restricted access
220,03 kBAdobe PDFView/Open

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