Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/67910

TítuloImproving pervasive decision support system in critical care by using technology acceptance model
Autor(es)Nunes, Ana
Portela, Filipe
Santos, Manuel
Palavras-chaveTechnology Acceptance Model
INTCare
Intensive Medicine
Data2018
EditoraElsevier Science BV
RevistaProcedia Computer Science
Resumo(s)The increase in the use of technologies in the health area and the evolution of their characteristics became an essential aspect for increasing knowledge in this area, especially in intensive medicine. This aspect is critical for the treatment of high-risk patients, so it became necessary to study the factors that influence the acceptance of the technologies. The INTCare is one technologic healthcare platform that is used in intensive medicine at the Hospital Centre of Porto. This article analyses the INTCare system, the technology acceptance model (TAM) methodology and its application in the preferred system. This analysis is the third already done to this platform, and it comes with the purpose of verifying if the improvements detected in the previous evaluation were carried out successfully and of finding new enhancements. As a result, a questionnaire was developed, with a total of 49 questions, where each one corresponds to at least one TAM construct. This paper allows understanding how systems features can be mapped to the TAM model and how the questionnaires can be used to support it.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/67910
DOI10.1016/j.procs.2018.10.133
ISSN1877-0509
Versão da editorahttps://www.sciencedirect.com/science/article/pii/S1877050918317812
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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