Chicago's MATTER and Dr. S. Yin Ho to Explore the Future of Responsible AI in Healthcare on February 12th

CHICAGO - Amzeal -- Rigani Press, publisher of Rushing Headlong: Health IT's Legacy and the Road to Responsible AI announced today that MATTER's Steven Collens will be hosting a fireside discussion this afternoon, February 12th at 3:30 pm Central Time with book author Dr. S. Yin Ho about the role of AI in healthcare given the difficulty legacy of healthcare IT in the U.S.  The discussion is entitled: "A Conversation with Dr. S. Yin Ho: AI and Improving Data in Healthcare."   The event will take place in downtown Chicago at 222 W. Merchandise Mart Plaza.  It will also be live-streamed.

"Over the past few weeks, I've been trying to make sense of a pattern I keep seeing with healthcare AI. Tools that technically work. Pilots that look promising. Systems that get deployed — and then slowly worked around. Some of this is about underestimating the change management required to implement new solutions. But something I didn't fully appreciate until digging into Dr. Ho's work on healthcare IT is that we're asking AI to operate inside systems that were never designed for learning, judgment, or trust."  notes Collens.

More on Amzeal News

• Century Fasteners de Mexico Exhibiting at the 2026 Automotive & Aerospace Nearshoring Summit
• Retell AI White Label Platform for Agencies Launched by VoiceAIWrapper, With Branded Client Portals and No Per-Minute Markup
• FOCUS Names Mark Phillips Senior Vice President of Business Development
• Geyser Data Joins NVIDIA Inception as It Builds Cold Data Infrastructure for AI
• Notaron Expands Online Notarization Access Following Wisconsin Approval

Today's conversation will explore key insights from Dr. Ho's book, which examines how missed opportunities, regulatory capture, and fragmented leadership have left healthcare systems with a health IT system that doesn't serve patients or physicians well. Together, Collens and Ho will discuss not only what responsible AI entails, but also explore the tradeoffs.

Rushing Headlong challenges conventional wisdom about health technology while outlining a constructive path forward for innovation. This event invites healthcare professionals, entrepreneurs, academics, and technology leaders to join a timely discussion about what constitutes responsible AI if the goal is to better serve patients and physicians.

Event Details:
Date: Thursday, February 12, 2026
Time: 3:30 pm Central Time
Location: MATTER, 222 W. Merchandise Mart, Chicago, IL
Pre-registration required: https://lnkd.in/gEuTBjru

About MATTER

At MATTER, we believe collaboration is the best way to improve healthcare. The MATTER collaborative includes more than 1,000 current and alumni startups from around the world, working together with dozens of hospitals and health systems, universities and industry-leading companies to build the future of healthcare. Together we are accelerating innovation, advancing care and improving lives. For more information, visit matter.health and follow @MATTERhealth.

More on Amzeal News

• Predictive Monitor CEO Laurie Masiello Named One of New Hampshire's Outstanding Women in Business
• Wings Air Helicopters Selected to Support VIP Transportation for Resorts World in New York
• Scoop Social Co. Brings Its Signature Mobile Dessert Experience to Houston This October
• The Social Capital Revolution Comes to Phoenix!
• Lawsuit Alleges American Deli Food Caused Severe Illness, Acute Kidney Failure, And Eight-day Hospitalization

About S. Yin Ho, MD, MBA

S. Yin Ho, MD, MBA has spent more than two decades at the forefront of health information technology, clinical research, and digital health innovation. A Yale-trained emergency physician with an MBA from Harvard Business School, she has led health IT initiatives at Pfizer, Medidata, and Aetion. She founded the health economics analytics technology firm Context Matters (later acquired by Clarivate), and most recently served as interim CEO of Veradigm, where she spearheaded a key acquisition to develop health-specific generativeAI models with electronic health records to support clinical research.