Leveraging Generative AI in Healthcare: Advancing Evidence-Based Practice through responsible use

The integration of Generative Artificial Intelligence (GAi) into clinical care holds transformative potential to enhance evidence-based practice (EBP) and improve patient outcomes. Building on the foundational work outlined in the recent white paper, Practical Guidelines for Ethical Implementation of Generative Al in Clinical Care, which emphasized the critical importance of ethical principles such as fairness, transparency, privacy, and accountability in deploying GAi within healthcare settings. This white paper extends that discussion by focusing specifically on how generative Al can augment the core methodologies of EBP-namely, the systematic use of the best available evidence to inform clinical decisions-while adhering to responsible Al practices. By analyzing vast bodies of scientific literature and generating novel insights, generative Al offers unprecedented opportunities to enhance guideline adherence, reduce variability in treatment, and support consistent, high-quality care. 

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