Bibliometric Analysis of Electronic Medical Records (EMR) Acceptance and Adoption: Trends, Insights, and Future Directions

Abstract

Background: The integration of Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) has revolutionized healthcare by enabling digital storage, exchange, and management of patient information. This abstract explores the landscape of EMR acceptance and adoption through a bibliometric analysis of research literature indexed in Scopus from January 2014 to December 2023. The study identified 138 relevant articles focusing on EMR and EHR acceptance, employing tools like VOSviewer and Rstudio-Biblioshiny for data visualization and analysis. Method: This study is qualitative research with a literature study approach. The data collection technique in this study used Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and obtained 138 documents for analysis. This dataset is converted to CSV format for further processing in Mapchart, VosViewer, and Rstudio-Biblioshiny for thorough analysis. Result: Key findings reveal a predominant focus on factors influencing EMR adoption, including technological infrastructure, user training, and regulatory mandates. The United States and Canada emerged as leading contributors to EMR research, highlighting their advanced healthcare systems. Theoretical frameworks such as the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) were frequently employed to assess adoption determinants. Conclusions: The study identifies gaps in research, particularly in areas such as cybersecurity and user satisfaction, suggesting future avenues for investigation. By addressing these gaps, researchers can enhance the usability and effectiveness of EMR and EHR systems, thereby improving healthcare delivery and patient outcomes globally.