Separating Truth from Hype in Healthcare AI

Over the past year, we’ve seen a rapid expansion of potential use cases for AI, and everyone wants a piece of the action. Healthcare companies are moving into the AI space, AI companies are moving into the healthcare space, and the market has become flooded with “revolutionary” AI-enabled solutions. The problem is, many of these solutions offer minimal ROI and aren’t what health plans and providers truly need.

As a technology, AI has boundless potential, but it’s not a panacea. To meaningfully apply AI in healthcare, leaders need to have a clear understanding of what AI can do—and, more importantly, what it can’t. To make the most of AI’s potential, the healthcare industry needs to focus on meaningful applications for AI and not let itself get distracted by lofty promises.

In this white paper, we examine the ways AI can be practically and meaningfully applied to healthcare, why many existing solutions fall short of capitalizing on AI’s transformative potential, and how healthcare leaders can learn to separate truth from hype.

Healthcare AI: Truth vs. Hype White Paper