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Implementing a Pervasive Real-Time Intelligent System for Tracking Critical Events with Intensive Care Patients

2013-10-01Artigo científico Acesso restrito
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorPortela, Filipe
dc.contributor.authorGago, Pedro
dc.contributor.authorSantos, Manuel Filipe
dc.contributor.authorMachado, José
dc.contributor.authorAbelha, António
dc.contributor.authorSilva, Álvaro
dc.contributor.authorRua, Fernando
dc.date.accessioned2026-04-16T15:40:59Z
dc.date.available2026-04-16T15:40:59Z
dc.date.issued2013-10-01
dc.description.abstractNowadays, it is increasingly important to utilize intelligent systems to support the decision making process (DMP) in challenging areas such as Intensive Medicine. In Intensive Care Units (ICU), some of the biggest challenges relate both to the number and the different types of available data sources. Even though in such a setting the values for some variables are easy to collect, data collection is still performed manually in particular instances. In order to improve the DMP in ICU, a Pervasive Intelligent Decision Support System, called INTCare was deployed in the ICU of Centro Hospitalar do Porto in Portugal. This system altered the way information is collected and presented. Moreover, the tracking system deployed as a specific module of INTCare – Electronic Nursing Record (ENR) is made accessible anywhere and anytime. The system allows for the calculation of the critical events regarding five variables that are typically monitored in an ICU. Specifically, the INTCare tracking system characterizes a grid that shows the events by type and duration, empowers a warning system to alert the doctors and promotes intuitive graphics that allow care providers to follow the patient care journey. User acceptance was measured through a questionnaire designed in accordance with the Technology Acceptance Model (TAM) and results of implementing the INTCare tracking system, and its interface are reported.eng
dc.identifier.citationPortela, F., Gago, P., Santos, M. F., Machado, J., Abelha, A., Silva, Á., & Rua, F. (2013). Implementing a Pervasive Real-Time Intelligent System for Tracking Critical Events with Intensive Care Patients. International Journal of Healthcare Information Systems and Informatics (IJHISI), 8(4), 1-16. https://doi.org/10.4018/ijhisi.2013100101
dc.identifier.doi10.4018/ijhisi.2013100101
dc.identifier.issn1555-3396
dc.identifier.issn1555-340X
dc.identifier.urihttp://hdl.handle.net/10400.8/16134
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIGI Global
dc.relation.hasversionhttps://www.igi-global.com/gateway/article/102969
dc.relation.ispartofInternational Journal of Healthcare Information Systems and Informatics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDecision Making Process (DMP)
dc.subjectElectronic Nursing Record (ENR)
dc.subjectINTCare Tracking Systems
dc.subjectIntensive Care Units (ICU)
dc.subjectTechnology Acceptance Model (TAM)
dc.titleImplementing a Pervasive Real-Time Intelligent System for Tracking Critical Events with Intensive Care Patientseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage16
oaire.citation.issue4
oaire.citation.startPage1
oaire.citation.titleInternational Journal of Healthcare Information Systems and Informatics
oaire.citation.volume8
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGago
person.givenNamePedro
person.identifier.orcid0000-0003-3404-9657
relation.isAuthorOfPublicationda8a69f8-5112-4415-b79b-bc9e2ed28131
relation.isAuthorOfPublication.latestForDiscoveryda8a69f8-5112-4415-b79b-bc9e2ed28131

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