In a recent video interview with Healthcare IT Today, experts from two healthcare technology companies focus on the latest happenings with healthcare AI and the IT infrastructure to support it. Harini Malik, Global Strategic Biz Dev Head for Healthcare at AMD, and Connie W. Hebert, Healthcare Chief Nursing Officer at Dell Technologies are in a position to think long-term and look at developments across a broad landscape. They bring hardware as well as software into the picture, explaining the potential in recent chip development and its relation to healthcare’s utilization of AI.
Harini lays out an “end-to-end strategy” from the edge to the cloud. On the one hand, data centers have to have a modern infrastructure to handle AI and real-time requests. But there is also AI in endpoint devices: computer vision, imaging devices, embedded clinical equipment, and more. The FDA is approving AI-assisted medical devices. Hebert cites one use case: real-time AR/VR in surgery, which has to be physically next to the surgeon.
Both leaders emphasize governance. Harini calls for a “risk-tiered governance model” that determines where to put scarce resources. The needs of different departments must be balanced against resources and constraints imposed by regulations. Hebert says that an AI governance board is important, and advises organizations not to roll out AI until the board is in place. The governing managers know what was done before, what works, and what other organizations are doing.
Harini also talks about the importance of redefining workflows, establishing baselines, and defining measurable goals: metrics such as minutes saved or claim denials reviewed. Both speakers say that every healthcare organization has different priorities and use cases for applying AI.
Ironically, Harini and Hebert say that one goal should be to reduce the number of devices in the organization. Denser, more high-performing chips should allow organizations to modernize workflows and get more done with less equipment. They need a consistent platform that supports shared data access, unified identity management, and consent management.
Hebert describes the importance of a pilot program before deploying an AI solution, not only to make sure it works, but to assess security, cost, and required infrastructure support. Dell Technologies often helps healthcare organizations with pilots like this.
The winners in healthcare, Harini says, are the organizations that have the best data and the strongest governnance, as well as a scalable compute foundation. Hebert says that AI use today is still siloed, being applied to individual use cases such as patient safety. Harini and Hebert look forward to a future where an AI-powered, intelligent operating layer encompasses the whole enterprise, optimizing resource utilization, revenue, etc.
Watch our interview with Harini Malik from AMD and Connie Hebert from Dell Technologies to learn more about how to approach your IT infrastructure in this AI world we are now in.
Learn more about AMD: https://www.amd.com/en/solutions/healthcare.html
Learn more about Dell: https://dell.com/Healthcare
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