The Impact of Artificial Intelligence on Nursing Students: A Systematic Review

Abstract

Background: Deep vein thrombosis (DVT) is a critical condition requiring timely prevention and management by healthcare providers, particularly nurses. Effective nursing care for DVT involves knowledge of prevention strategies, early detection, and treatment protocols. However, knowledge gaps and inconsistent practices persist, particularly in regions with limited resources. Education and training interventions are essential in improving nursing knowledge and attitudes toward DVT care. Aim: This study aimed to evaluate the impact of nursing education and training interventions on nurses' knowledge, attitudes, and practices concerning DVT prevention and management. Method: A systematic review of studies was conducted, focusing on the effectiveness of various educational strategies, including formal education, simulation-based training, and interactive learning, in improving nursing care for DVT. Eligible studies were selected based on inclusion criteria such as empirical data, focus on nursing education, and relevance to DVT management. Results: The review found that formal education, simulation-based training, and the integration of tools significantly improved nurses' knowledge and attitudes toward DVT prevention and management. Additionally, experienced nurses demonstrated better adherence to clinical guidelines, although continuous education was necessary to address evolving practices. Knowledge gaps, particularly in under-resourced regions, were identified as a critical issue, suggesting the need for tailored educational interventions. Conclusion: Nursing education, particularly when incorporating interactive and technological interventions, plays a crucial role in improving DVT care. Continuous professional development, addressing knowledge gaps, and leveraging technology are essential strategies for enhancing nursing practice and improving patient outcomes in DVT management.