In this episode expert guest Dr. CM Schade elaborates on the Texas Medical Board's revamped CME requirements for opioid prescriptions, which now focus only on direct patient care physicians. He offers insights into how the new rules bring flexibility while placing an emphasis on meticulous documentation. With decades of experience in legislative advocacy, Dr. Schade shares valuable tips on navigating these changes and encourages utilizing TMA's educational resources.

• Access the ondemand webinar - Prescribing and Monitoring of Controlled Substances
• Access current TMB rules

Welcome to this episode of TMA's Practice Well Podcast, where we dive into the transformative potential of AI in healthcare. Join us as Shannon Vogel, TMA's Associate Vice President for Health Information Technology, hosts a conversation with Dr. Dan McCoy, a leader in AI consulting and education.

Explore the evolving terminology and concepts like data drift and hallucinations, and how they relate to AI in the medical field. Dr. McCoy shares his insights on pre-training and post-training of AI models, highlighting their implications for physicians.

Gain a deeper understanding of the challenges and opportunities that AI presents, including the importance of validating AI outputs and maintaining safety standards. Learn practical strategies for physicians to engage with AI systems, enhance practice efficiency, and contribute to the ongoing development of AI models. Tune in to unlock the full potential of AI in medicine today.

• Claim CME credit for this episode and check out more CME to Go on AI in health care
• Access TMA AI Resources
• TMA Policy Compendium

Welcome to the TMA Practice Well podcast. In this episode, our host Shannon Vogel, TMA's Associate Vice President for Health Information Technology, engages in conversation with Dr. Nithisha Thatikonda, a resident at the University of Texas Medical Branch in Galveston. They explore the evolving role of augmented intelligence (AI) in healthcare and clinical research.

Dr. Thatikonda shares insights on how AI, particularly machine learning, accelerates drug discovery and optimizes clinical trials. She discusses the AI-powered innovations that streamline drug development processes, enhance diversity in patient recruitment, and improve participant retention.

Follow along as Dr. Thatikonda and Shannon delve into the challenges of using AI, like data quality and model performance variability, and emphasize the importance of human oversight and collaboration in advancing AI technologies responsibly.

Join us to discover how AI is transforming healthcare research, ensuring safer, more efficient drug development, and ultimately enhancing patient outcomes. Visit our episode description for additional resources and stay informed about AI in practice.

• Claim CME credit for this episode and check out more CME to Go on AI in health care
• Access TMA AI Resources
• TMA Policy Compendium