%20Learning%20Healthcare%20(500%20x%20500%20px)%20(500%20x%20200%20px).png?width=500&height=200&name=(Machine)%20Learning%20Healthcare%20(500%20x%20500%20px)%20(500%20x%20200%20px).png "(Machine) Learning Healthcare")
Reimagining Healthcare with AI: Building A (Machine) Learning Health System
Join us for a thought-provoking webinar led by James Green, CEO of Cognome, as he brings together three pioneering voices in healthcare informatics and AI. Together, they’ll explore how today’s fragmented, costly, and reactive healthcare system can be reimagined as something more connected, adaptive, and responsive: a Learning Health System.
Featured Speakers
- Paul G. Nagy, Program Director of Biomedical Informatics and Data Science, John’s Hopkins University
- Dr. Parsa Mirhaji, MD, PhD, VP, Director of the Center for Health Data Innovations at Montefiore Health and Albert Einstein School of Medicine
- Donald E. Brown, PH.D, Founding Director of Data Science Institute, University of Virginia School of Data Science
- James Green, CEO of Cognome
What You’ll Walk Away With:
- The Vision: Gain a concise, practical understanding as to what a Learning Health System truly is, and why it has the power to reshape care across the country. Hear how years of innovation from pandemic resilience to AI agents are culminating in a new era of integrated care.
- Real-time Progress: Learn how AI and ML can support, not replace, clinical decision-making by using these models to handle complex, high-volume data in milliseconds.
- A Front Row Seat To Innovation: Acquire knowledge as to how to prepare for this coming shift in healthcare and see how your organization can start transforming now.
Join the conversation about building something better- together!