AI @ HLTH: GE GenAI Strategy Leveraging Multimodels to Streamline Technologies and Products to Reduce Cognitive Burden on Providers

In this episode, Sandy Vance interviews Parminder “Parry” Bhatia, Chief AI Officer at GE Healthcare, about the integration of generative AI and machine learning in healthcare. They discuss the transformative potential of these technologies in improving clinical efficiency, reducing burnout, and enhancing patient care. Parminder shares insights on recent innovations, the concept of agentic AI, and the importance of responsible AI practices in ensuring safe and effective healthcare solutions. The discussion highlights GE Healthcare's commitment to advancing AI technologies while maintaining a focus on ethical considerations and collaboration with clinical partners.

In this Episode they discuss:

• GE Healthcare is leading in AI and machine learning integration.
• Generative AI is set to revolutionize healthcare data management.
• AI technologies can significantly reduce clinical burnout.
• The Care Intellect application enhances oncology care efficiency.
• Agentic AI offers proactive solutions in complex healthcare scenarios.
• Responsible AI practices are crucial for building trust in technology.
• AI can streamline workflows and improve patient experiences.
• Collaboration with clinical partners is essential for innovation.
• The AI Innovation Lab fosters early-stage research and development.
• GE Healthcare aims to enhance healthcare delivery for over a billion patients.

About Parminder "Parry" Bhatia:

 At GE HealthCare, Parminder is focused on integrating AI across areas including smart devices, across the patient journey, and at the hospital operation level.

GE HealthCare has a long track record innovating in AI, and has topped the Food and Drug Administration’s (FDA) list of AI-enabled medica devices for three years in a row, with 80+ AI-enabled medical device authorizations. Parminder leads a team that is helping to advance AI integration within medical devices at GE HealthCare, with the ultimate goal of enhancing patient outcomes and creating a world where healthcare has no limits. Parry is part of the company’s internal committee on responsible AI to help ensure that new AI applications are reliable, scalable, and ethically sound. He has been recognized by the AIM “AI 100” 2024 Awards and Constellation Research's Artificial Intelligence 150 “AI 150” list.

Previously, Parminder was Head of Science for Generative AI at Amazon, where he led the development of machine learning and generative AI products including Amazon Comprehend Medical for analyzing medical record data at scale, Amazon Q for developer productivity, and Amazon Bedrock for democratizing access to Large Language Model technologies globally.

He has held previous roles in AI and machine learning at Microsoft and Georgia Tech.