Beyond The Hype: Three Best Practices When Using Generative AI In Healthcare

There's no denying that technology amplifies the power of humanity. We see it in our homes with automatically adjusting thermostats, in our cars with AI-powered brakes and in our phones with supercomputing capabilities. That also extends to the world of healthcare. The industry has invested deeply in tools to diagnose and treat medical conditions more accurately, which has helped to more than double life expectancy over the past century. Now we need to adopt a new mindset around harmonizing how humans and machines work together. From my perspective, the largest challenge we have today globally in healthcare is patient access because we don't have enough physicians or nurses to serve everybody how we need to. Enter generative AI. As reported by Becker's Hospital Review, research by Accenture, where I'm a global health industry lead, shows that 98% of healthcare providers and 89% of healthcare payer executives believe generative AI advancements "are ushering in a new era of enterprise intelligence." In today's workforce-challenged environment, generative AI's ability to liberate clinical resources from administrative burdens can allow healthcare professionals to focus on their core expertise and spend more time with patients and care teams.