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Biomedinformatics: A New Journal for the New Decade to Publish Biomedical Informatics Research
Article

Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice

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Institute for Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
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General Hospital Pancevo, 26000 Pancevo, Serbia
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Clinical Center of Serbia, 11000 Belgrade, Serbia
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Department for Public Health, Faculty of Medicine, University of East Sarajevo, 73300 Foca, Bosnia and Herzegovina
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Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55902, USA
*
Author to whom correspondence should be addressed.
Received: 9 July 2020 / Revised: 15 February 2021 / Accepted: 25 February 2021 / Published: 8 March 2021
Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems. View Full-Text
Keywords: electronic health record; hospital; acceptance; physician electronic health record; hospital; acceptance; physician
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MDPI and ACS Style

Pavlovic, A.; Rajovic, N.; Pavlovic Stojanovic, J.; Akinyombo, D.; Ugljesic, M.; Pavlica, M.; Pavlovic, V.; Randjelovic, S.; Spaic, D.; Masic, S.; Stanisavljevic, D.; Milic, N. Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice. BioMedInformatics 2021, 1, 6-17. https://0-doi-org.brum.beds.ac.uk/10.3390/biomedinformatics1010002

AMA Style

Pavlovic A, Rajovic N, Pavlovic Stojanovic J, Akinyombo D, Ugljesic M, Pavlica M, Pavlovic V, Randjelovic S, Spaic D, Masic S, Stanisavljevic D, Milic N. Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice. BioMedInformatics. 2021; 1(1):6-17. https://0-doi-org.brum.beds.ac.uk/10.3390/biomedinformatics1010002

Chicago/Turabian Style

Pavlovic, Andrija, Nina Rajovic, Jasmina Pavlovic Stojanovic, Debora Akinyombo, Milica Ugljesic, Marina Pavlica, Vedrana Pavlovic, Simona Randjelovic, Dragan Spaic, Srdjan Masic, Dejana Stanisavljevic, and Natasa Milic. 2021. "Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice" BioMedInformatics 1, no. 1: 6-17. https://0-doi-org.brum.beds.ac.uk/10.3390/biomedinformatics1010002

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