2013
DOI: 10.5455/aim.2012.21.23-25
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Electronic Medical Record in Central Polyclinic of Isfahan Oil Industry: a Case Study Based on Technology Acceptance Model

Abstract: IntroductionToday, health information technologies are base of health services and Electronic Medical Record is one of them. The purpose of this paper is to investigate the Technology Acceptance Model (TAM) on EMR at Central Polyclinic Oil Industry that is a pioneer in implementation of EMR in Isfahan.MethodsThis study was an applied and analytical survey that it was done at the Central Polyclinic Oil Industry. Because statistical population were limited, sampling bas been done by conducting the census and the… Show more

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Cited by 14 publications
(15 citation statements)
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References 8 publications
(10 reference statements)
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“…Sugiyono (2013) said when Rvalue is 0.40 until 0.599 indicates fair/medium relation. This is aligned with Tavakoli et. al.…”
Section: Resultssupporting
confidence: 91%
“…Sugiyono (2013) said when Rvalue is 0.40 until 0.599 indicates fair/medium relation. This is aligned with Tavakoli et. al.…”
Section: Resultssupporting
confidence: 91%
“…Pharmacists reported the highest rate of PU but a low rate of perceived behavioral control. The results of a study by Asua et al and Tavakoli et al 43,44 show that the original TAM was good at predicting intention to use the telemonitoring and electronic medical record (EMR) systems by nurses, general practitioners, and pediatricians. Therefore, according to our findings and other studies, the original TAM constructions have significant impact on staffs' behavioral intention to use HISs technology in both clinical and paraclinical departments.…”
Section: Discussionmentioning
confidence: 99%
“…Domestic studies also were no exception; Abde Khoda et al ( 26 ) used the factors of technology acceptance and several other factors, such as administrative support, occupations, authority of physicians, and doctor-patient relationships as the factors affecting the use of electronic medical records. Tavakoli et al ( 27 ) in their study in 2013 used the Technology Acceptance Model and other factors, such as the user interface and data quality, in order to assess the use of electronic medical records. Hamidfar et al ( 28 ) used the unified theory of acceptance and use of technology and several other factors that can show up to 76% the intention for use.…”
Section: Discussionmentioning
confidence: 99%