Computer-Assisted Instruction in Nursing: Applications, Implications, and Challenges

Abstract

Background: Computer-assisted instruction (CAI) encompasses a broad spectrum of digital technologies designed to facilitate structured, interactive learning across educational and healthcare settings. Its adoption in nursing has accelerated considerably in response to mounting demands for flexible, evidence-based, and competency-driven education. Purpose: This narrative review examines the conceptual foundations, major typologies, and multidimensional applications of CAI in nursing education, clinical practice, research, community health, and professional advocacy. Main Findings: CAI modalities including drill and practice, tutorial, simulation, discovery, and problem-solving approaches each confer distinct pedagogical advantages. In nursing education, CAI supports individualised, self-paced, and multimedia-enhanced learning. In clinical environments, it improves documentation accuracy, patient education, continuing professional development, and nurse-led telehealth delivery. In research, it enables systematic literature retrieval, data management, and statistical analysis. In community settings, CAI extends the reach of health promotion and strengthens public health data infrastructure. It also strengthens nursing advocacy by enabling digital reporting and informed clinical decision-making. Limitations including information overload, digital infrastructure deficits, and the inability of CAI to replicate the emotional dimensions of care are identified. Conclusion: CAI holds substantial transformative potential for nursing across all professional domains. Strategic investment in digital infrastructure, faculty capacity, and context-sensitive instructional design is essential to maximize its benefits.