The global adoption of Electronic Health Records (EHRs) stands as a cornerstone in the digital transformation of healthcare, aiming fundamentally to enhance systemic efficiency and quality of care. This article investigates the multifaceted impact of EHRs on healthcare system efficiency, exploring the transition from paper-based records to integrated digital ecosystems. The primary objective is to critically analyze the evidence regarding how EHRs influence operational workflows, clinical decision-making, inter-departmental coordination, and overall resource utilization within healthcare institutions. The method involves a comprehensive synthesis of empirical studies, systematic reviews, and health services research conducted across diverse settings over the past decade. The results present a dualistic outcome: while properly implemented and interoperable EHR systems demonstrably improve efficiency through reduced duplication of tests, streamlined administrative processes, enhanced accuracy of coding and billing, and support for data-driven population health management, significant inefficiencies and unintended consequences are also documented. These include increased clinician burden due to poor usability and documentation requirements, high initial and maintenance costs, and workflow disruptions that can temporarily reduce productivity. The conclusion asserts that EHRs possess inherent potential to be a powerful engine for healthcare efficiency, but this potential is not automatically realized. Maximizing positive returns requires a focus on user-centered design, robust interoperability standards, effective change management, and the strategic use of EHR data for analytics and quality improvement, moving beyond mere digital replication of paper charts to enabling truly intelligent and connected care delivery.

Electronic Health Records, Healthcare Efficiency, Health Information Technology, Interoperability, Clinical Workflow, Health Data Analytics, Health System Management, Digital Transformation