Bridging Perception and Practice: How User Attitude Shapes EMR Utility, Convenience, and Self-Efficacy for Greater Adoption
DOI:
https://doi.org/10.35654/ijnhs.v8i3.859Keywords:
Actual Use, User Attitude, Perceived Usefulness, Perceived ease of use , Self-efficacyAbstract
Background: The implementation of Electronic Medical Records at the Tangerang Regency Hospital has been since September 2023, but in its implementation in November 2023 it has only reached 70.44%, the target set by the hospital is 100%, this is due to the actual use that is not optimal. Objective: The purpose of this study is to analyze the influence of perception of utility, perception of convenience, and self-efficacy on the actual use of electronic medical records through user attitudes as intervening variables in the Outpatient Installation of Tangerang Regency Hospital. Method: A cross-sectional study was applied in this study. The sample in this study totaled 83 with a sampling technique using the total sampling method. Data was obtained through questionnaires. Result: The results of the Path Coefficients hypothesis test, the results of t>1.96 and p<0.05 were obtained. The results of data analysis and direct hypothesis testing found that there was an influence on the perception of utility, perception of convenience, self-efficacy and user attitude towards actual use. Testing the indirect hypothesis found that there was an influence of the perception of utility, perception of convenience, and self-efficacy on actual use with the attitude of the user as a mediator. Conclusion: the attitude mediated the perception of utility, perception convenience, and self-efficacy on improving the actual usage EMR. Recommendation: the management of hospital need to consider all factors to implement the effective EMR
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(1) Bali A, Bali D, Iyer N, Iyer M. Management of medical records: facts and figures for surgeons. J Maxillofac Oral Surg. 2011 Sep;10(3):199-202. doi: 10.1007/s12663-011-0219-8
(2) Almunawar MN, Anshari M. Health information systems (HIS): Concept and technology. (2012); 1203.3923
(3) Honavar SG. Electronic medical records - The good, the bad and the ugly. Indian J Ophthalmol. 2020 Mar;68(3):417-418. doi: 10.4103/ijo.IJO_278_20
(4) Hasanain RA, Vallmuur K, Clark M. Electronic medical record systems in Saudi Arabia: knowledge and preferences of healthcare professionals. Journal of Health Informatics in Developing Countries. 2015; 9(1).
(5) Quinn M, Forman J, Harrod M, Winter S, Fowler KE, Krein SL, Gupta A, Saint S, Singh H, Chopra V. Electronic health records, communication, and data sharing: challenges and opportunities for improving the diagnostic process. Diagnosis (Berl). 2019 Aug 27;6(3):241-248. doi: 10.1515/dx-2018-0036. PMID: 30485175
(6) Ajami S, Bagheri-Tadi T. Barriers for Adopting Electronic Health Records (EHRs) by Physicians. Acta Inform Med. 2013;21(2):129-34. doi: 10.5455/aim.2013.21.129-134
(7) Vos JF, Boonstra A, Kooistra A, Seelen M, Van Offenbeek, M. The influence of electronic health record use on collaboration among medical specialties. BMC health services research. 2020; 20: 1-11
(8) Gagnon MP, Talla PK, Simonyan D, Godin G, Labrecque M, Ouimet M, Rousseau M. Electronic health record acceptance by physicians: testing an integrated theoretical model. Journal of biomedical informatics. 2014;48: 17-27
(9) Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychological review. 1977; 84(2): 191
(10) Lee S. Effect of Electronic Medical Record Quality on Nurses' Perceived Usefulness and Ease of Use. Comput Inform Nurs. 2022 Aug 1;40(8):562-570. doi: 10.1097/CIN.0000000000000845
(11) Kurniawati K. The Effect of Perception of Usefulness and Perception of Ease of Use on the Attitude of Using Electronic Medical Records. In Proceedings of the National Seminar on Business Economics. 2023; 1(1): 363-370
(12) Davis FD. Technology acceptance model: TAM. Al-Suqri, MN, Al-Aufi, AS: Information Seeking Behavior and Technology Adoption. 1987; 205: 219
(13) Maryati Y. Evaluation of the Use of Outpatient Electronic Medical Records at Husada Hospital with a Technology Acceptance Model. Journal of Healt information Management Indonesia. 2021; 9(2), 190-190.
(14) Pamuji A, Igiany PD, Andriani R. Systematic literature review: factors affecting the implementation of electronic medical records. Prepative: Public Health Journal. 2024; 8(1): 1023-1033
(15) Zarcadoolas C, Vaughon WL, Czaja SJ, Levy J, Rockoff ML. Consumers' perceptions of patient-accessible electronic medical records. J Med Internet Res. 2013 Aug 26;15(8):e168. doi: 10.2196/jmir.2507.
(16) Spatar D, Kok O, Basoglu N, Daim T. Adoption factors of electronic health record systems. Technology in Society. 2019; 58, 101144
(17) Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychological review. 1977; 84(2), 191.
(18) Tsai MF, Hung SY, Yu WJ, Chen CC, Yen, DC. Understanding physicians’ adoption of electronic medical records: Healthcare technology self- efficacy, service level and risk perspectives. Computer Standards and Interfaces, 2019. 66. https://doi.org/10.1016/j.csi.2019.04.001
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