scholarly journals Switching to Electronic Health Record Systems: A Replication of the User Resistance Model

2019 ◽  
Vol 5 ◽  
pp. 1-18
Author(s):  
Bahae Samhan ◽  
◽  
KD Joshi ◽  
2020 ◽  
Author(s):  
Younghee Cho ◽  
Mihui Kim ◽  
Mona Choi

BACKGROUND Electronic health record (EHR) systems often face user resistance in hospitals, which results in a failure to acquire the full benefits of EHR systems. It is crucial to reduce nurses’ resistance to use the EHR to implement the system successfully. OBJECTIVE This study aimed to investigate the factors associated with nurses’ resistance to use the EHR system. METHODS A descriptive correlational study was conducted on nurses working at four university hospitals implementing a new EHR within 2 years. Path analysis was performed with seven factors affecting user resistance behavior. RESULTS All seven factors were found to be significantly associated with user resistance, whether directly or indirectly. The total effect on user resistance behavior was highest in resistance to change (0.65), followed by perceived usefulness (-0.33), which both have direct but no indirect effects. Conversely, Self-efficacy (-0.25), perceived value (-0.21), colleagues’ opinion (-0.16), perceived ease of use (-0.16), and organizational support (-0.05) were found to have indirect but no direct effects. CONCLUSIONS The study explored the factors affecting nurses’ user resistance behavior after the implementation of a new EHR system. These findings could help hospitals develop better EHR implementation strategies to reduce user resistance behavior among the nursing staff.


2011 ◽  
Vol 21 (1) ◽  
pp. 18-22
Author(s):  
Rosemary Griffin

National legislation is in place to facilitate reform of the United States health care industry. The Health Care Information Technology and Clinical Health Act (HITECH) offers financial incentives to hospitals, physicians, and individual providers to establish an electronic health record that ultimately will link with the health information technology of other health care systems and providers. The information collected will facilitate patient safety, promote best practice, and track health trends such as smoking and childhood obesity.


2012 ◽  
Author(s):  
Robert Schumacher ◽  
Robert North ◽  
Matthew Quinn ◽  
Emily S. Patterson ◽  
Laura G. Militello ◽  
...  

2011 ◽  
Vol 4 (0) ◽  
Author(s):  
Michael Klompas ◽  
Chaim Kirby ◽  
Jason McVetta ◽  
Paul Oppedisano ◽  
John Brownstein ◽  
...  

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