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The Role of Perceived Usefulness and Attitude on Electronic Health Record Acceptance

The Role of Perceived Usefulness and Attitude on Electronic Health Record Acceptance

Randike Gajanayake, Tony Sahama, Renato Iannella
Copyright: © 2014 |Volume: 5 |Issue: 4 |Pages: 12
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781466654020|DOI: 10.4018/ijehmc.2014100107
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MLA

Gajanayake, Randike, et al. "The Role of Perceived Usefulness and Attitude on Electronic Health Record Acceptance." IJEHMC vol.5, no.4 2014: pp.108-119. http://doi.org/10.4018/ijehmc.2014100107

APA

Gajanayake, R., Sahama, T., & Iannella, R. (2014). The Role of Perceived Usefulness and Attitude on Electronic Health Record Acceptance. International Journal of E-Health and Medical Communications (IJEHMC), 5(4), 108-119. http://doi.org/10.4018/ijehmc.2014100107

Chicago

Gajanayake, Randike, Tony Sahama, and Renato Iannella. "The Role of Perceived Usefulness and Attitude on Electronic Health Record Acceptance," International Journal of E-Health and Medical Communications (IJEHMC) 5, no.4: 108-119. http://doi.org/10.4018/ijehmc.2014100107

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Abstract

Information and communications technologies are a significant component of the healthcare domain, and electronic health records play a major role in it. Therefore, it is important that they are accepted en masse by healthcare professionals. How healthcare professionals perceive the usefulness of electronic health records and their attitudes towards them have been shown to have significant effects on the overall acceptance in many healthcare systems around the world. This paper investigates the role of perceived usefulness and attitude on the intention to use electronic health records by future healthcare professionals using polynomial regression with response surface analysis. Results show that the relationships between these variables are more complex than predicted in prior research. The paper concludes that the properties of the above determinants must be further investigated to clearly understand: (i) their role in predicting the intention to use electronic health records; and (ii) in designing systems that are better adopted by healthcare professionals of the future.

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