Electronic Health Records (EHRs) have emerged as a transformative tool in modern healthcare, enhancing the accuracy, accessibility, and coordination of clinical information. Their integration into nursing practice has significantly improved documentation quality, streamlined communication among multidisciplinary teams, and strengthened continuity of care. By providing real-time access to comprehensive patient data, EHRs support timely clinical decision-making and reduce errors commonly associated with paper-based records. Nurses, as primary users of these systems, benefit from improved workflow efficiency and access to clinical decision support tools that offer alerts, reminders, and evidence-based guidelines (Atreja et al., 2008). These functionalities contribute to safer care processes and more informed interventions. Despite these opportunities, challenges persist, including increased workload during the implementation phase, system usability issues, interoperability limitations, and heightened concerns regarding data privacy and security (Kutney-Lee et al., 2019; Shah & Khan, 202. Such challenges affect nurses’ experiences and can influence job satisfaction and patient outcomes. As healthcare continues to evolve, emerging innovations such as artificial intelligence, predictive analytics, and blockchain technologies offer promising avenues for strengthening EHR effectiveness and safeguarding patient information. Fully realizing the potential of EHRs requires continuous training, user-centred system design, and strong institutional support to ensure these tools enhance, rather than hinder, nursing practice and patient care.

Keywords: Electronic Health Records, Nursing Practice, Patient Care, Clinical Decision Support, Data Security,

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