In this video, we hear about trends and future expectations in health IT from LaDonna Worrell, Senior Director of IT Operations at Duke Health and Justin T. Collier, MD, Healthcare CTO North America at Lenovo.

The hospital of the future is coming soon at Duke Health, which is planning to open a brand new facility in North Carolina in three years. Already, according to Worrell, three units at an existing hospital have been designated as "Beta units" (using a term common in computing for products that are not fully tested but are being tried out in real-life production). Some of the products being used there have been designated for the upcoming hospital They also have simulation labs.

Collier listed several exciting technologies that he thinks will be central to health care. Top of the list, of course, is AI, which he prefers to call "assistive intelligence." Statistics report that the healthcare industry is adopting AI at twice the rate of other industries.

Learn more about Lenovo: https://techtoday.lenovo.com/us/en/solutions/healthcare

Learn more about Duke Health: https://www.dukehealth.org/

Healthcare IT Community: https://www.healthcareittoday.com/

Ryan Howells, Principal at Leavitt Partners, envisions a wholesale move by the health IT industry to open standards, health care providers moving data from the EHR into their own data centers for more flexibility in AI use, patients sharing the insurance information with providers without paper cards, and 93% of prior authorizations requests answered in real time.

In a recent interviw with Howells, we explore the regulatory and technical advances in interoperability that might even kill the clipboard that patients fill out on each visit. And yes, "Kill the Clipboard" is a reference to a paper that Howells and Leavitt Partners published wich many of the ideas expressed in the paper being reflected in CMS' Kill the Clipboard effort.

Learn more about Leavitt Partners: https://leavittpartners.com/

Learn more about the CARIN Alliance: https://www.carinalliance.com/

Health IT Community: https://www.healthcareittoday.com/

AI models look great in validation studies. They clear regulatory review. Then they land in your hospital with different scanners, different workflows, and different staffing realities. That is where performance starts to drift.

In this conversation, Dr. Khan Siddiqui, Founder and CEO of HOPPR, discusses a simple question: Does your AI actually work here? We explore why frozen AI models struggle site to site, how image acquisition differences change AI performance, and why some of the most valuable AI use cases in radiology are operational and financial.

At the center of that discussion is what he calls an AI Foundry. Instead of shipping another fixed model, the Foundry gives health systems and radiology teams the infrastructure to fine-tune models against their own data, protocols, and risk thresholds. It shortens the path from idea to deployment and allows organizations to build solutions for problems that may exist in only one department. In other words, AI designed for a market of one.

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Learn more about HOPPR at https://www.hoppr.ai/

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