Yusrina Nur Dianati
Universitas Islam Negeri Salatiga, Indonesia

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Meta-Analysis of Factors Affecting Electronic Medical Record Implementation Success in Healthcare Organizations Dewi Kurnia Sari; Yusrina Nur Dianati; Ahisa Novianti
International Journal of Science and Society Vol 8 No 3 (2026): International Journal of Science and Society (IJSOC)
Publisher : GoAcademica Research & Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/ijsoc.v8i3.1725

Abstract

Electronic medical record (EMR) implementation frequently fails to achieve sustained adoption despite substantial investment. This systematic review and factor-specific meta-analysis synthesized evidence on determinants of EMR/EHR implementation success in healthcare organizations. A working corpus of 73 references was classified, while quantitative pooling was restricted to primary studies reporting compatible odds ratios and 95% confidence intervals. Random-effects models were computed in Python on the log-odds-ratio scale. Five studies contributed to knowledge and attitude syntheses and three to computer literacy/skills. Good knowledge was associated with higher readiness/adoption (pooled OR 2.42), favorable attitude showed a pooled OR of 2.13, and computer literacy/skills showed the largest pooled association (OR 3.03). Heterogeneity was low for knowledge and computer literacy/skills and low-to-moderate for attitude. The findings indicate that human readiness is a central implementation domain, but the wider literature also identifies organizational, technical, workflow, training, and governance conditions. Because effect estimates were not available in a common metric for all 73 references, the pooled estimates represent compatible quantitative subsets rather than all cited studies.