Most healthcare organizations are investing in AI. Fewer are seeing results. In a recent Becker’s Hospital Review podcast episode, ELLKAY President & CEO Ajay Kapare made the case that the gap between AI experimentation and measurable enterprise impact comes down to one thing: the quality and governance of the underlying data.
Why This Matters
Health systems are under pressure to show ROI on AI, but many are building on fragmented, ungoverned data. The problem isn’t the AI tools. It’s the infrastructure underneath them. Without integration, normalization, and governance in place first, even well-funded initiatives stall at the pilot stage. Kapare’s perspective in Becker’s cuts through the hype: the organizations that will win over the next five to ten years are those investing in the data foundation now, not those chasing new models and algorithms.
