Medical Writing in the Age of AI: Threat or Opportunity?

Are you curious about how artificial intelligence (AI) can augment medical writing? Or are you wondering how AI could change the way we approach continuing education for health professionals?Listen in as Núria Negrão PhD shares tangible strategies for content creation.As advances in AI lead to fears about human jobs being replaced, medical writers and CME/CE professionals are wondering how to adapt. Núria explains key opportunities to enhance your skills and stay ahead of the curve. We take a deeper look at the practical applications and limitations of generative AI in medical writing, offering you valuable insights to enhance your professional toolkit.What you'll learn in this episode: Identify specific AI tools to help with literature reviews, analyzing bias, ideation, translations, and more. Approaches for integrating AI tools into medical writing, ensuring accuracy and efficiency. Appreciate the biggest risks of AI content creation and how to mitigate them. How to effectively balance human expertise with AI capabilities to create high-quality, comprehensive medical content. Strategies to navigate the challenges and ethical considerations of using AI in medical writing, enhancing your ability to produce content that's both innovative and trustworthy. Get actionable ideas to experiment with AI as part of your medical writing process—and a downloadable worksheet to help you brainstorm your own processes. Call to Action: Tune in to this future-focused conversation to explore how AI can make you a better, more effective medical writer right now.Timestamps: (03:31) - A listener question on triangulating results with Generative AI (07:19) - The importance of knowing your process and having different stakeholders involved in the project (12:12) - Acknowledging AI in collaborative work (15:33) - Another listener question on teaching AI in medical school (19:02) - Nuria’s final thoughts on stumping ChatGPT Transcript Mentioned in this episode:Why Retreats Work: Disconnection, Body Wisdom, and the Science of Letting GoRewrite Your Power Retreat 2026This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

What this episode covers

Are you curious about how artificial intelligence (AI) can augment medical writing? Or are you wondering how AI could change the way we approach continuing education for health professionals? Listen in as Núria Negrão PhD shares tangible strategies for content creation. As advances in AI lead to fears about human jobs being replaced, medical writers and CME/CE professionals are wondering how to adapt. Núria explains key opportunities to enhance your skills and stay ahead of the curve. We take a deeper look at the practical applications and limitations of generative AI in medical writing, offering you valuable insights to enhance your professional toolkit. What you'll learn in this episode: Identify specific AI tools to help with literature reviews, analyzing bias, ideation, translations, and more. Approaches for integrating AI tools into medical writing, ensuring accuracy and efficiency. Appreciate the biggest risks of AI content creation and how to mitigate them. How to effectively balance human expertise with AI capabilities to create high-quality, comprehensive medical content. Strategies to navigate the challenges and ethical considerations of using AI in medical writing, enhancing your ability to produce content that's both innovative and trustworthy. Get actionable ideas to experiment with AI as part of your medical writing process—and a downloadable worksheet to help you brainstorm your own processes. Call to Action: Tune in to this future-focused conversation to explore how AI can make you a better, more effective medical writer right now. Timestamps: (03:31) - A listener question on triangulating results with Generative AI (07:19) - The importance of knowing your process and having different stakeholders involved in the project (12:12) - Acknowledging AI in collaborative work (15:33) - Another listener question on teaching AI in medical school (19:02) - Nuria’s final thoughts on stumping ChatGPT Transcript