Electronic Medical Record System and Performace of Healthcare Projects in Nairobi City County, Kenya

Abstract

This study aimed to investigate the influence of electronic medical record (EMR) systems on the performance of healthcare projects in Nairobi County, Kenya. Specifically, the objectives were to assess the level of EMR adoption, examine the impact of EMR on healthcare project outcomes, and identify challenges and opportunities in EMR implementation. The study was anchored on three key theoretical frameworks: Diffusion of Innovation Theory, which explores how new technologies spread within organizations; the Technology Acceptance Model (TAM), which examines factors influencing technology acceptance; and the Resource-Based Theory, which considers organizational resources as drivers of competitive advantage. These theories provided a foundation for understanding the factors influencing EMR adoption and the role of resources and user acceptance in its successful implementation. A quantitative research design was employed, gathering data from healthcare professionals in Nairobi County through structured questionnaires. A total of 202 responses were analyzed, representing a 73% response rate. The data were analyzed using descriptive statistics and regression analysis to assess relationships between EMR-related factors and healthcare project performance. Findings revealed high levels of EMR adoption, with significant positive effects on project efficiency, quality, and timeliness. Network accessibility, infrastructure, resource allocation, and staff capacity building were identified as critical factors supporting EMR effectiveness. However, challenges such as financial constraints, technical resistance, and integration issues were noted as barriers to broader EMR adoption. The study concluded that EMR systems are vital for improving healthcare project outcomes, underscoring the need for continued investment in infrastructure, resources, and staff training. Recommendations for healthcare officers include prioritizing EMR training programs and improving network infrastructure. For policymakers, the study suggests implementing supportive policies, financial support, and standardized guidelines to address existing barriers and facilitate EMR integration. Future research should expand the geographical scope and explore the long-term impact of EMR systems on healthcare performance to enhance understanding and application in varied healthcare contexts.