Date
5-20-2026
Department
School of Education
Degree
Doctor of Philosophy in Education (PhD)
Chair
Jeremy Savage
Keywords
electronic medical record, nursing education, Technology Acceptance Model, perceived usefulness, perceived ease of use, behavioral intention, actual system use
Disciplines
Computer Sciences | Educational Leadership
Recommended Citation
Awosika, Clara, "A Predictive Correlational Study of User Acceptance of Electronic Medical Record Systems in Nursing Higher Educational Institutions" (2026). Doctoral Dissertations and Projects. 8468.
https://digitalcommons.liberty.edu/doctoral/8468
Abstract
The purpose of this quantitative, predictive correlational study was to examine the extent to which perceived usefulness and perceived ease of use predict behavioral intention and actual usage of electronic medical record systems among nurses who have passed the National Council Licensure Examination for Registered Nurses. Using the Technology Acceptance Model, this study sought to address a gap in the literature regarding the level of user acceptance and utilization of EMR systems among nursing students during their training in higher education institutions. Participants included 85 actively licensed nurses who used EMR systems during their academic preparation. Data were collected using the validated TAM instrument and a demographic survey, administered via Microsoft Forms, and recruited via SurveySwap and SurveyCircle. Descriptive statistics and multiple linear regression analysis were conducted in SPSS to assess predictive relationships among variables. Results indicated that perceived usefulness and perceived ease of use significantly predicted behavioral intention to use EMR systems, accounting for 26% of the variance. The predictors also significantly predicted actual EMR usage, explaining 21% of the variance. Perceived ease of use was the stronger predictor of behavioral intention, whereas perceived usefulness was the stronger predictor of actual usage. Findings from this study can help nursing educators, administrators, and curriculum developers understand the technological, pedagogical, and attitudinal factors influencing nursing students’ adoption and use of EMRs. The results may guide curriculum improvements that integrate EMR systems into nursing education, thereby enhancing documentation accuracy, clinical preparedness, and overall patient care outcomes.
