How AI is Transforming Healthcare
The AI: ROI Conference
Healthcare has some of the most to gain from AI advancements, and some of the most to risk by adopting it – so leaders need an AI strategy that puts the human first and the AI at the center.
Pamela Landis
SVP of Digital Engagement, Hackensack Meridian Health
Roberta Schwartz
EVP and Chief Innovation Officer, Houston Methodist
Sara Murray
VP and Chief Health AI Officer, UCSF Health
Human-first strategies for AI breakthroughs
Section CEO, Greg Shove, is being joined by 4 healthcare leaders who have proven success implementing transformative AI use cases. Together, they’ll get to the heart of the opportunities and threats of embedding AI in healthcare through questions like:
- What are the biggest opportunities for AI in a large healthcare system and what’s the best way to get started?
- What are the biggest challenges healthcare leaders face with AI adoption – whether it be regulation or data privacy – and how can they be mitigated?
- What are the biggest markers for AI success in healthcare – from patient outcomes to operational efficiency?
- What’s one thing AI has made possible in your hospital that wasn’t even imaginable five years ago?
- What part of the healthcare system do you predict AI will transform next?
They’re also taking your questions so don’t miss the opportunity to ask the industry trailblazers everything you need to know about replicating their success in your own healthcare teams.
Meet your speakers
Pamela Landis
SVP of Digital Engagement, Hackensack Meridian Health
Pamela Landis, SVP of Digital Engagement at Hackensack Meridian Health, leads AI and digital strategies to improve patient access and experiences. She has driven key AI initiatives like a 24/7 digital operations center and AI-based predictive healthcare solutions.
Roberta Schwartz
EVP and Chief Innovation Officer, Houston Methodist
Roberta Schwartz, EVP and Chief Innovation Officer at Houston Methodist, leads AI initiatives to transform patient care and operational efficiency. She spearheaded the development of AI-powered diagnostics and predictive analytics platforms to enhance clinical decision-making and personalized medicine.
