The 2009 American Recovery and Reinvestment Act, signed under the Obama administration, mandated physicians to complete certification for electronic medical records (EMRs). Despite these mandates and the increased access to information technology, slow adoption rates persist on the use of EMRs. Guided by the theory of planned behavior and the technology acceptance model, the purpose of this quantitative study was to examine the relationship between the independent variables perceived ease of use, perceived usefulness, perceived behavioral control, perceived social influence, attitudes toward EMR, and the dependent variable user acceptance. This study identified physicians in the United States as end-users of EMRs. In this study, 76 randomly selected physicians in the United States, identified as end-users of EMRs, completed an electronic survey requiring responses to a 5-point Likert Scale model. Standard multiple regression analysis served as the means used to analyze the regression model. Despite the regression model being statistically significant, none of the individual independent variables had statistical significance in predicting user acceptance. Interdependence and homoscedasticity likely contributed to this phenomenon. Social change implications include understanding of physician perceptions and beliefs--how physician perceptions and beliefs affect EMR adoption. Because adoption rates did not achieve 100% certification by end-users, another social change implication includes the necessity of examining how end-user acceptance could decrease medical errors, increase efficiencies in physician workload, and improve communication within the health care industry.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-2256 |
| Date | 01 January 2015 |
| Creators | Duncan, Terrence |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
Page generated in 0.002 seconds