As healthcare AI moves beyond the pilot phase, health systems need to build the infrastructure to enable the technology for the long term, according to a recent panel discussion at New York City-based Columbia Business School.
“There’s a lot of excitement around AI and certainly AI in the healthcare space. But, if you look at what’s happened in the past, it seems what we would refer to as AI tourism,” said panel moderator Carri Chan, PhD, Cain Brothers and Co. Professor of Healthcare Management at Columbia Business School, where she leads the AI+Healthcare initiative, per a March 12 news release. “A lot of pilots, but things that hadn’t really seemed very sustainable.”
At the same time, health systems have to contend with “shadow AI,” as most physicians are using AI tools that aren’t officially approved by their organizations or integrated into their EHRs, the American Medical Association found. “There is a huge gap,” said panelist Timothy Crimmins, MD, chief medical information officer at New York City-based Columbia University Irving Medical Center, according to the release.
Columbia University Irving Medical Center has 80 approved AI tools after spending 18 months building governance to scale the technology, the release stated.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
