Infrastructure is easy to overlook and underinvest in. Roads, bridges, and electrical grids fade into the background, until a failure makes them impossible to ignore.

The same is becoming true for AI in healthcare. Over the past several years, health systems have developed or investigated hundreds of AI solutions. Many are showing strong technical performance but limited clinical or operational impact. Some have proved incompatible with existing systems; others couldn’t scale beyond pilots. 

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