Becker’s Healthcare Podcast
Turgay Ayer, Professor at Georgia Tech’s School of Industrial and Systems Engineering
Mar 31, 2025
Turgay Ayer, a professor at Georgia Tech's School of Industrial and Systems Engineering, specializes in data-driven healthcare decision-making. He discusses the critical role of randomized control trials in healthcare research and the challenges of data accessibility. Ayer sheds light on how AI can improve breast cancer diagnosis and examines the heated debate on hepatitis C treatment in correctional facilities, revealing complexities in healthcare policy and resource allocation. His insights aim to bridge the gap between data and real-world applications.
25:50
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Emphasizing data-driven decision-making, Turgay Ayer highlights the importance of randomized control trials while addressing challenges in data accessibility and communication with end users.
- Ayer discusses the complexities of healthcare spending in correctional facilities, providing insight into the intricacies of resource allocation and its impact on decision-making.
Deep dives
The Importance of Data-Driven Decision Making in Healthcare
Research emphasizes the need for data-driven mathematical and computational modeling to improve medical decision-making and health policy analysis. Given the complexity of clinical decisions, traditional methods often fall short, requiring systematic frameworks that incorporate comprehensive data. By utilizing mathematical models, researchers can tackle questions that involve enormous calculations which would be impractical for humans to handle directly. The ability to create robust frameworks addresses pressing clinical and policy issues, enhancing the decision-making landscape in healthcare.
