In this episode of Data Nerds in the OR, Dr. Bruce Ramshaw is joined by the Co-Founder of Platypus Health, Leigh McCormack, PhD, an experienced data scientist and entrepreneur. They discuss the transformative role of AI and data science in healthcare, focusing on the importance of context in data analysis, the need for diverse data to achieve health equity, and the potential pitfalls and hopes of AI in clinical settings. Leigh emphasizes the value of ensemble modeling and federated learning, advocating for collaborative approaches to AI development to enhance predictive accuracy and patient outcomes.
Key Topics Discussed
- Introduction to Leigh McCormack: Background in data science and career trajectory, including entrepreneurial ventures focused on health equity.
- The Role of AI in Healthcare: Potential benefits, limitations, and the importance of understanding AI’s context in clinical settings.
- Health Equity in AI: The need for diverse data to create equitable healthcare solutions and the challenges of overcoming biases in AI models.
- Ensemble Modeling and Federated Learning: How combining multiple models and collaborating across organizations can improve AI outcomes.
- Importance of Clinical Context: Ensuring data scientists work closely with healthcare practitioners to build relevant and effective AI tools.
- Real-World Examples and Case Studies: Discussion on specific instances where AI and data science have been applied in healthcare settings, highlighting successes and lessons learned.
- Future of AI in Healthcare: Vision for how AI can continue to evolve to better serve diverse patient populations and improve overall healthcare delivery.
Resources Mentioned:
“Weapons of Math Destruction” by Cathy O’Neil
White paper: The ASA Statement on p-Values: Context, Process, and Purpose
Many analysts, one dataset: Making transparent how variations in analytical choices affect results
CDaaS for Medtech