Artificial Intelligence has the potential to improve every aspect of health care. AI applications can accelerate scientific discovery, help physicians and nurses make better decisions, improve medical advice for patients, and reduce the sometimes-crushing burden of paperwork. But history suggests that the U.S. health sector struggles to put innovations like AI into practice, due in part to what economists call “switchover disruptions,” the costly phase-in period for new technologies that can upend profitable operations. To reduce switchover disruptions for AI and accelerate adoption, health care innovators must build trust in AI with three critical constituencies: providers, patients, and the public.
AI Adoption in U.S. Health Care Won’t Be Easy
The key is to design and implement AI applications so that they earn the trust of providers, patients, and the public.
September 14, 2023
Summary.
The U.S. health sector has struggled to put innovations into practice. AI promises to be no different. But 3 steps can help overcome the obstacles. And the contrasting experiences of electronic health records and minimally invasive surgical removal of the gallbladder can be instructive.