Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/62956

TitleAn analysis of the impact of UTAUT predictors on the intention and usage of electronic health records and telemedicine from the perspective of clinical staffs
Author(s)Venugopal, P.
Priya, S. Aswini
Manupati, V. K.
Varela, M.L.R.
Machado, José
Putnik, Goran D.
KeywordsBehavioural intention
Effort expectancy
Electronic health records
Facilitating conditions
Performance expectancy
Social influence
Telemedicine
Issue date2018
PublisherCefin Publishing House
JournalInternational Journal of Mechatronics and Applied Mechanics
Abstract(s)Technology adoption play significant role for good healthcare services. It is very important to understand and identify the requirements and perceptions of hospital employees for the implementation of technology in their work place. This study determines the impact of performance expectancy, effort expectancy and social influence on behavioural intention as well as the impact of facilitating conditions on technical/clinical staff’s perspective. The structured questionnaire is administered to 770 clinical staffs on the usage of telemedicine and electronic health records in hospitals. A valid sample of 568 was returned back for further analysis. Regression analysis using AMOS 20 is performed to examine the effect of the constructs. Findings revealed that performance expectancy, effort expectancy, and social influence have a significant impact on behavioural intention and facilitating condition also significantly impacts behavioural intention which in turn impacts usage behaviour of electronic health records and telemedicine. The limitations and future research are suggested and delineated.
TypeArticle
URIhttps://hdl.handle.net/1822/62956
ISSN2559-6497
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais / Papers in international journals

Files in This Item:
File Description SizeFormat 
HELIX 2018_paper_115Extended.pdf
  Restricted access
643,42 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