Global Trends in Electronic Medical Records Education and Training in Nursing and Health Care: A Bibliometric Analysis

Authors

  • Rossa Hasbella Universitas Muhammadiyah Yogyakarta
  • Lisa Musharyanti Universitas Muhammadiyah Yogyakarta

DOI:

https://doi.org/10.37287/ijghr.v8i3.1414

Keywords:

electronic medical records, health informatics, healthcare training

Abstract

Electronic medical records are becoming a crucial part of contemporary clinical practice due to the digital revolution in healthcare. The performance of healthcare workers, particularly nurses, significantly influences the successful implementation of electronic medical records, making electronic medical records education and training a strategic aspect of the healthcare system. This study aims to analyze global trends, publication patterns, international collaborations, and key research themes related to electronic medical records education and training in nursing and healthcare. This study was conducted using bibliometric analysis using the Scopus database. A literature search was conducted on December 19, 2025, using the keywords electronic medical records and training. The selection process was based on inclusion criteria. A total of 2,472 articles from 2015 to 2025 were analyzed using Bibliometrics and VOSviewer to examine publication trends, contributing countries, citations, network visualization, and the evolution of research themes. The analysis results show that publications related to electronic medical records education and training continue to increase, with the largest contribution coming from the United States. This study demonstrates that education and training are rapidly growing and multidimensional research fields in nursing and healthcare. This study provides a scientific foundation for policy development and further research in technology-based nursing education.

References

Abdekhoda, M., Ahmadi, M., Gohari, M., & Noruzi, A. (2015). The effects of organizational contextual factors on physicians ’ attitude toward adoption of Electronic Medical Records. Journal of Biomedical Informatics, 53, 174–179. https://doi.org/10.1016/j.jbi.2014.10.008

Alkureishi, M. A., Lee, W. W., Lyons, M., Press, V. G., Imam, S., Nkansah-amankra, A., Werner, D., & Arora, V. M. (2015). Impact of Electronic Medical Record Use on the Patient – Doctor Relationship and Communication : A Systematic Review. 548–560. https://doi.org/10.1007/s11606-015-3582-1

Cheryl, R., Tracy, P., Jessica, M., & Michelle, F.P. (2019). Seven years after meaningful use: physicians’ and nurses’ experiences with electronic health records. Health Care Management Review, 44(1), 30-40

Colligan, L., Potts, H.W.W., Finn, C.T., & Sinkin, R.A. (2015). Cognitive workload changes for nurses transitioning from a legacy system with paper documentation to a commercial electronic health record, 84(7), 469-476, https://doi.org/10.1016/j.ijmedinf.2015.03.003

Fritz, F., Tilahun, B., & Dugas, M. (2015). Success criteria for electronic medical record implementations in low-resource settings: a systematic review, Journal of the American Medical Informatics Association, 22(2), 479-488, https://doi.org/10.1093/jamia/ocu038

Grood, C. De. (2016). Adoption of e-health technology by physicians : a scoping review. 335–344.

Hanauer, D. A., Mei, Q., Law, J., Khanna, R., & Zheng, K. (2015). Supporting information retrieval from electronic health records: A report of University of Michigan’s nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE). Journal of Biomedical Informatics, 55, 290–300. https://doi.org/10.1016/j.jbi.2015.05.003

Ju, J., & Jeong, H. (2025). Effect of a Practice-Oriented Electronic Medical Record Education Program for New Nurses. 1–11.

Luan, Z., Zhang, Z., Gao, Y., Du, S., & Wu, N. (2023). Electronic health records in nursing from to : A bibliometric analysis. 11(3).

Robinson, K. E., & Kersey, J. A. (2018). Novel electronic health record (EHR) education intervention in large healthcare organization improves quality, efficiency, time, and impact on burnout. Medicine, 1–5.

Tilahun, B., & Fritz, F. (2015). Comprehensive Evaluation of Electronic Medical Record System Use and User Satisfaction at Five Low-Resource Setting Hospitals in Ethiopia Corresponding Author : 3. https://doi.org/10.2196/medinform.4106

Ting, J., Garnett, A., & Donelle, L. (2021). Nurse Education in Practice Nursing education and training on electronic health record systems : An integrative review. Nurse Education in Practice, 55(October 2020), 103168. https://doi.org/10.1016/j.nepr.2021.103168

Zhang, Z., Yan, C., Mesa, D. A., Sun, J., & Malin, B. A. (2019). Ensuring electronic medical record simulation through better training, modeling, and evaluation. 27(October), 99–108. https://doi.org/10.1093/jamia/ocz161

Downloads

Published

2026-05-30

How to Cite

Hasbella, R., & Musharyanti, L. (2026). Global Trends in Electronic Medical Records Education and Training in Nursing and Health Care: A Bibliometric Analysis. Indonesian Journal of Global Health Research, 8(3), 1109–1118. https://doi.org/10.37287/ijghr.v8i3.1414

Similar Articles

<< < 6 7 8 9 10 11 12 13 14 15 > >> 

You may also start an advanced similarity search for this article.