Healthcare AI’s Next Phase: Turning Predictions Into Clinical Action

Despite growing adoption, many healthcare systems continue to struggle with how to leverage artificial intelligence within the flow of patient care. In many cases, healthcare institutions already have access to valuable data and predictive insights. The problem is, those insights often stop short of informing clinical action and driving measurable improvements in patient outcomes. Healthcare institutions have gotten better at using AI for stand-alone use cases — summarizing imaging results, supporting clinical documentation and improving scheduling efficiency, to name a few. Now, it’s time…