Digital Transformation of Clinical Education through Artificial Intelligence: A Strengths, Weaknesses, Opportunities, and Threats (SWOT) Analysis
Seyma Handan Akyon1, Fatih Cagatay Akyon21Gölpazarı Family Health Center, Bilecik, Türkiye2Graduate School of Informatics, Middle East Technical University, Ankara, Türkiye
This review article examines the impact of Artificial Intelligence (AI) on the digital transformation of clinical education through a comprehensive SWOT (strengths, weaknesses, opportunities, and threats) analysis. AI offers several strengths, including innovative learning strategies through simulations and virtual patients, personalized learning paths, advanced clinical training, and enhanced communication skills. However, AI faces weaknesses such as a lack of transparency, potential for misinformation, limited curriculum integration, and access inequality. Opportunities include managing information overload, providing real-time feedback, supporting multiple languages, and generating clinical scenarios. Threats include misinformation and bias, overdependence on AI, privacy concerns, lack of human interaction, and access inequality. Addressing these challenges is critical to fully realize AI's potential in medical education.
Keywords: Artificial intelligence, medical education, digital health, clinical skills, patient simulation.Makale Dili: İngilizce
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