The Influence of SI-RS Development and Computer Self-Efficacy on the Implementation of EMR Mediated by Barrier Self-Efficacy at Firdaus Hospital

Erish Harry Angkat; MF. Arrozi Adhikara; Wahyuni Dian

Authors

Erish Harry Angkat Universitas Esa Unggul
MF. Arrozi Adhikara Universitas Esa Unggul
Wahyuni Dian Universitas Esa Unggul

Keywords:

SIRS Development, Computer Self Efficacy, EMR Implementation, and Barrier Self Efficacy

Abstract

Health technology transformation is realized through development and utilization technology, digitalization, as well as bio-technology. The implementation of health technology transformation that has been carried out by the Ministry of Health is the enactment of Minister of Health Regulation Number 24 of 2022 concerning Medical Records which requires all hospitals to maintain electronic medical records (EMR) no later than 31 December 2023. The aim of this research namely to analyze the influence of the development of SI-RS and computer self-efficiency on the implementation of EMR which is mediated by self-efficacy barriers at Firdaus Hospital. The research method used is an associative quantitative research method. This research was conducted on medical service and examination officers with a population of 261 people. The sample used was 110 people who were calculated proportionally. This research uses path analysis and regression analysis techniques. The results of this study indicate that the simultaneous development of SI-RS and computer self-efficiency have an effect on the implementation of EMR which is mediated by self-efficacy barriers, partial development of SI-RS has no effect on self-efficacy barriers, computer self-efficiency partially influences barrier self-efficacy, barrier self-efficacy partially influences EMR implementation, SI-RS development partially influences EMR implementation, and computer self-efficacy partially influences EMR implementation.

References

Afrizal, SH, Hidayanto, AN, Handayani, PW, Budiharsana, M., & Eryando, T. (2019). Narrative review to explore barriers to readiness for implementation of electronic health records in primary health care. Health Informatics Research , 25 (3), 141–152. https://doi.org/10.4258/hir.2019.25.3.141

Al-Aufi, AS, & Al-Suqri, MN (2015). Information Seeking Behavior and Technology Adoption Theory and Trends (AS Al-Aufi & MN Al-Suqri, Eds.). IGI Global.

Albarracin, D., Ajzen, I., & Hornik, R. (2007). Prediction and Change in Health Behavior Applying a Reasoned Action Approach (D. Albarracin, I. Ajzen, & R. Hornik, Eds.). Taylor & Francis.

Andriani, R., Kusnanto, H., & Istiono, W. (2017). ANALYSIS OF THE SUCCESSFUL IMPLEMENTATION OF ELECTRONIC MEDICAL RECORDS AT GADJAH MADA UNIVERSITY HOSPITAL. Journal of Information Systems , 13 (2), 90. https://doi.org/10.21609/jsi.v13i2.544

Brown, C. A. (2006). Application of complex adaptive systems theory to clinical practice in rehabilitation. In Disability and Rehabilitation (Vol. 28, Issue 9, pp. 587–593). https://doi.org/10.1080/00222930500219175

Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Preliminary Test. In Measuring Computer Self-Efficacy (Vol. 19, Issue 2).

Delvita, D., & Mulyanti, D. (2023). Analysis of the Information System Implementation Process towards Emr at Citra Insani Hospital, Palangka Raya. DIAGNOSIS: Journal of Health and Nursing Sciences , 1 (1).

Devi, NLPI, & Widhiyani, NLS (2020). The Influence of Job Stress, Computer Self-Efficacy, Non-Physical Work Environment on the Effectiveness of Using Accounting Information Systems. American Journal of Humanities and Social Sciences Research , 4 (9), 209–217. www.ajhssr.com

Dijaya, R., Silvia Gracia, A., & Khoirun Nisak, U. (2022). Factors Influencing the Implementation of Electronic Medical Records (Remics) Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) at Sidoarjo Hospital Factors Influencing the Implementation of Electronic Medical Records (Remics) Based on the Unified Theory of Acceptance and Use of Technology (UTAUT ) at Sidoarjo Regional Hospital . https://pssh.umsida.ac.id.

Donmez-Turan, A. (2020). Does the integrated theory of acceptance and use of technology (UTAUT) reduce individual resistance and anxiety towards new systems? Kybernetes , 49 (5), 1381–1405. https://doi.org/10.1108/K-08-2018-0450

Dooley, K. J. (1997). Complex Adaptive Systems Model of Organizational Change. Nonlinear Dynamics, Psychology, and Life Sciences , 1 (1), 69–97.

Faida, EW, Supriyanto, S., Haksama, S., Markam, H., & Ali, A. (2022). Acceptance and Use of Electronic Medical Records in Developing Countries within the Framework of an Integrated Theory of Acceptance and Use of Technology. Open Access Macedonian Journal of Medical Sciences , 10 (E), 326–336. https://doi.org/10.3889/oamjms.2022.8409

Fishbein, M., & Ajzen, I. (2011). Predicting and Changing Behavior Reasoned Action Approach (M. Fishbein & I. Ajzen, Eds.). Taylor & Francis.

Ghazali, M. (2017). Research Methodology . Salemba Four.

Hamilton, K., Cameron, L.D., Hagger, M.S., Hankonen, N., & Lintunen, T. (2020). Handbook of Behavior Change . Cambridge University Press.

Jaradat, MIRM, & Al-Mashaqba, A.M. (2014). Understand the adoption and use of mobile payment services using TAM3. International Journal of Business Information Systems , 16 (3), 271–296. https://doi.org/10.1504/IJBIS.2014.063768

Livinus, V., Adhikara, MFA, & Kusumapradja, R. (2021). Use of Hospital Management Information Systems in the Health Services Industry in Indonesia: Mandatory or Voluntary? JMMR (Journal of Medicoeticolegal and Hospital Management) , 10 (1), LAYOUTING. https://doi.org/10.18196/jmmr.v10i1.10296

Mahyarni, M. (2013). THEORY OF REASONABLE ACTION AND THEORY OF PLANNED BEHAVIOR (A Historical Study of Behavior). EL-RIYASAH Journal , 4 (1), 13. https://doi.org/10.24014/jel.v4i1.17

McKenney, C.R. (2020). The Effectiveness of the Stages of Change Model for Tailoring Mental Health Support Messages (CR McKenney, Ed.). ProQuest Dissertations & Theses.

Miller, J. H., & Page, S. E. (2009). Complex Adaptive Systems An Introduction to Computational Models of Social Life (JH Miller & SE Page, Eds.). Princeton University Press.

Nikolic, I., Dam, K. H. van, & Lukszo, Z. (2012). Agent-Based Socio-Technical Systems Modeling (I. Nikolic, KH van Dam, & Z. Lukszo, Eds.). Dutch Spring.

Nikoloc, I., Dam, KH Van, & Lukszo, Z. (2012). Agent-Based Modeling of Socio-Technical Systems (1st ed., Vol. 1). Dutch Spring.

Nobles, J.D., Radley, D., & Mytton, O.T. (2022). Action Scale Model: A conceptual tool for identifying critical points for action in complex adaptive systems. In Public Health Perspectives (Vol. 142, Issue 6, pp. 328–337). SAGE Publications Ltd. https://doi.org/10.1177/17579139211006747

Nøhr, C., Andersen, S. K., Vingtoft, S., Bernstein, K., & Bruun-Rasmussen, M. (2005). Development, implementation and deployment of an EHR system in Denmark. International Journal of Medical Informatics , 74 (2–4), 229–234. https://doi.org/10.1016/j.ijmedinf.2004.04.025

Peiwen Li, L., Deng, H., & Duan, S. (2022). Australasian Conference on Information Systems Compliance-Based Framework for Identity Management Compliance-Based Framework for Digital Identity Management: Research in progress. Australasian Conference on Information Systems , 1–7.

Roebuck, K. (2011). Systems Development Life Cycle (SDLC): High Impact Strategy - What You Need to Know Definition, Adoption, Impact, Benefits, Maturity, Vendors (K. Roebuck, Ed.). Emereo Ply Limited.

Trang, S., & Brendel, B. (2019). A Meta-Analysis of Deterrence Theory in Information Security Policy Compliance Research. Information Systems Frontiers , 21 (6), 1265–1284. https://doi.org/10.1007/s10796-019-09956-4

Tsai, C.H., Eghdam, A., Davoody, N., Wright, G., Flowerday, S., & Koch, S. (2020). Impact of electronic medical record implementation and barriers to its adoption and use: A scoping review and qualitative analysis of content. Life , 10 (12), 1–27. https://doi.org/10.3390/life10120327

Tsai, MF, Hung, SY, Yu, WJ, Chen, CC, & Yen, DC (2019a). Understanding physician adoption of electronic medical records: Healthcare technology self-efficacy, service levels and risk perspectives. Computer Standards and Interfaces , 66 (2019), 1–11. https://doi.org/10.1016/j.csi.2019.04.001

Tsai, MF, Hung, SY, Yu, WJ, Chen, CC, & Yen, DC (2019b). Understanding physician adoption of electronic medical records: Healthcare technology self-efficacy, service levels and risk perspectives. Computer Standards and Interfaces , 66 . https://doi.org/10.1016/j.csi.2019.04.001

Whitworth, B., & Moor, A. de. (2009). Handbook of Socio-technical Design Research and Social Network Systems (B. Whitworth & A. de Moor, Eds.; 1st ed., Vol. 1). Information Science Reference.