Research on the influencing factors of nurses protection of patients privacy in EMR

Corresponding author: Xiang Fei, xiangfei@hust.edu.cn

DOI: 10.12201/bmr.202009.00013

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  Abstract: Objective Electronic medical records are in trend of inevitability trend in the process of hospital informatization. However, at the same time, it presents new challenges to the protection of patient privacy in EMR. Based on the perspective of behavioral science, this study applies TPB and other behavioral theories to construct the structural equation model. Make an empirical test of the structural model with influencing factors of nurses behavior to protect patients privacy in EMR. Method Accidental sampling the questionnaire survey was conducted with. According to latent constructs with non-normality and the structure model, we empirically validated the proposed model using partial least squares (PLS), supported by Smart-PLS 2.0 software. Results Structural equation modeling identified that perceived severity significantly predicted the nurses’ behavioral attitude. The factors of behavioral attitude and perceived behavioral control significantly predicted the nurses’ behavioral intention. Perceived vulnerability and subjective norm is not remarkable effect. Conclusions Speculate the reasons for the insignificant impact, put forward suggestions to promote nurses protection behavior.

  Key words: Privacy protection; Structural Equation Model; Nurses; Electronic Medical Records

  Submit time: 10 October 2020

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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