AI won’t transform healthcare until we fix information overload
TL;DR
Healthcare generates more data than clinicians can process, and adding AI tools risks making it worse. Over 70% of healthcare professionals say technology is being deployed faster than it can be operationalized. Doug Benoit argues AI should filter rather than flood, protect clinical attention rather than compete for it, and keep decision-making with humans while organizing information at machine scale.
Healthcare does not need more information. It needs better ways to help clinicians identify what matters. The industry has spent years pursuing more data as the path to better outcomes, but the real challenge is turning an overwhelming volume of information into timely, meaningful action. Artificial intelligence will only improve healthcare if it protects clinical attention rather than adding another layer of complexity.
Today’s healthcare environment produces more information than any clinician could reasonably process. Electronic health records, wearable devices, imaging systems, laboratory results, patient portals, remote...
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