Abstract
Rationale: Identifying and using relevant evidence can be daunting for healthcare providers. As a result, ensuring clinical decisions are informed by the latest evidence-based knowledge is challenging.
Aim: To explore how Generative Artificial Intelligence (Al) can support the process of finding and applying evidence-based knowledge in clinical practice.
Method: Interactive and engaging hands-on demonstrations. This will help them ask relevant clinical questions, find relevant literature, and consider concepts needed to support clinical decision making. We will also discuss the underlying principles of Generative Al, its limitations, and ethical and trustworthiness issues that need to be considered when using it in clinical practice.
Key topics to be covered include:
Introduction to Generative Artificial Intelligence and its relevance to evidence-based healthcare.
Practical demonstrations of Generative Al tools for clinical decision support, including ChatGPT, Assistant by Seite, ResearchRabbit and ChatPDF.
Ethical considerations and challenges in the adoption of Al-driven evidence-based practices.
Learner Outcomes:
• Gain a deeper understanding of how Generative Al can augment clinical decision-making processes.
• acquire practical skills to leverage Generative Al tools effectively in their own clinical practice settings to enhance patient care outcomes, empowering you to make more informed and effective clinical decisions.