ELECTRONIC MEDICAL RECORD (EMR) ADOPTION: A PANACEA FOR COST REDUCTION IN HEALTHCARE FACILITIES IN NIGERIA
Abstract
EMRs have been globally recognized as transformative tools in modern healthcare, improving efficiency, enhancing patient outcomes, and reducing operational costs. This study explores the impact of Electronic Medical Records (EMR) adoption on cost reduction in healthcare facilities in Nigeria, using Reference Hospital, Okene, Kogi State, as a case study. The study examines the relationship between EMR adoption and cost savings, addressing Nigeria’s pressing healthcare challenges such as high out-of-pocket expenses and inefficient resource allocation. A descriptive survey design and cross-sectional approach were employed, with data collected from 108 senior and management staff across various departments. A structured questionnaire, analyzed using SPSS 27.0, provided insights into the correlation between EMR implementation and operational cost reduction. Principal Component Analysis (PCA) identified three key cost-saving components, which were correlated with EMR adoption using Spearman’s rank correlation. Findings reveal that EMR adoption significantly reduces administrative tasks, enhances inventory management, and minimizes costs associated with medical errors and adverse events. However, initial implementation and maintenance costs remain challenges. The results demonstrate a statistically significant relationship between EMR usage and cost-saving components, validating the hypothesis that EMR systems improve operational efficiency and affordability in healthcare delivery. The study concludes that EMR systems offer a viable pathway to cost reduction and improved healthcare outcomes. It recommends scaling up EMR adoption in Nigerian healthcare facilities, supported by government policies, funding, and staff training. Future research should explore long-term impacts, regional variations, and challenges specific to rural healthcare settings.
Keywords:
Electronic Medical Records (EMR), Cost Reduction, Healthcare Facilities, Health Information Technology, Operational EfficiencyDOI:
https://doi.org/10.70382/bejsmsr.v7i9.007Downloads
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- 2025-05-13 (2)
- 2025-04-20 (1)