Top of Mind 2021 Program Recap

37 Top of Mind 2021 Recap “Let’s take advantage of the last decade of digitization that started with the medical record, which was a great start,” Dr. Kass-Hout said. “We have the right tools to bring understanding to the data.” User experience will be key to advancing AI Despite the positive trends of greater availability of data, empowered consumers, and growing trust, Dr. Angus questioned whether that was enough for health systems to adopt AI at scale. “It’s not entirely clear to me that the hospital CEOs or the physicians in those hospitals lie in bed in the middle of the night thinking, ‘if I don’t get this machine learning algorithm implemented, I’m going to lose market share,’” Dr. Angus said. Suchi Saria, PhD, John C. Malone Professor of Computer Science, Bloomberg School of Public Health, Johns Hopkins University, suggested that the slow uptake and skepticism among health systems was natural and healthy. “Medicine as a field is risk averse, as it should be, because at the end of the day human lives are involved and mistakes are very costly,” she said. “And so, the skepticism towards anything new is warranted.” But despite the aversion to risk, health systems are likely to be pushed to adopt AI and other technology for competitive reasons, Dr. Saria said. In every other industry, as more data about consumers became available, “it’s fundamentally changed how businesses operate,” she said. Both Dr. Rao and Dr. Saria agreed that user experience will be essential with AI and machine learning applications. “User experience is going to be really key,” Dr. Rao said. “When we’re building machine learning centered solutions for a doctor or a nurse, I think those solutions will live and die by how well they can integrate into the workflow.”