Talk to any hospital leader about AI today and you’ll likely hear a mix of urgency, excitement, caution—and fatigue. The healthcare space is being flooded with tools that promise to revolutionize everything from clinical workflows to patient outcomes. It’s easy to get swept up in the hype—or overwhelmed by it. Yet, amid the noise, the most effective solutions don’t come from flashy demos or one-size-fits-all platforms. They come from teams that already understand the complex problems hospitals and providers are trying to solve.
What makes some AI tools work in healthcare while others prove ineffective? And why does turning raw clinical data into trusted insights stand out as one of the most powerful use cases for AI today? This article, written by Evan Estola, Vice President of AI at Q-Centrix, a MRO company, takes a closer look.
