Electronic medical record in central polyclinic of isfahan oil industry: a case study based on technology acceptance model

Abstract

Introduction: Today, 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.

Methods: This 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 sample was according to the population. The data was collected by a researcher-made questionnaire that it was validated by experts and its reliability was confirmed by test retest. The questionnaire was developed in 5 scopes including external factors (data quality and user interface), perceived usefulness, perceived ease of usefulness, attitude toward using, and behavioral intention to use. The Results analyzed by SPSS.

Results: There was a significant relationship between data quality with PU(r=/295, p</0001) and PEU(r=/499, p</0001). Also there was a significant relationship between user interface with PU(r=/543, p</0001) and PEU(r=/477, p</0001). PU and PEU had a significant relationship with attitude respectively (r=/590, p</0001; r=/605, p</0001). In addition attitude had a significant relationship with behavioral intention to use (r=/734, p</0001). There was no significant relationship between data quality with attitude (r=/161, p>/005).

Discussion: The survey of the scopes in the polyclinic showed that there is relationship among user interface, perceived usefulness, perceived ease of usefulness, attitude toward using, and behavioral intention to use, but data quality has no relationship with attitude. It seems the system designers didn't consider to data quality characteristics. It is proposed that they consult with health information management professionals for improvement the existing system.

Keywords: Ambulatory care; Electronic Medical record; Technology Acceptance Model.

Figure 1.

Davis’, Bagozzi’s and Warshaw’s TAM