MedCity News March 19, 2025
Without a clear picture of which solutions are working and which ones aren’t, it’s difficult for providers to scale AI across their enterprise. As hospitals transition their AI efforts from experimentation mode to the widespread adoption phase, experts agree that more rigorous, real-world evidence is needed.
Hospitals are poised to spend billions on AI in the coming years, but many remain ill-prepared to gauge the true return they are getting from these investments.
Health system leaders say they are still figuring this process out and experimenting with different ways to measure AI’s effectiveness — ranging from hard metrics like patient outcomes to softer indicators like physician job satisfaction.
Without a clear picture of which tools are working and...
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