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Healthcare AI can flag a patient at risk, but that does not help much if nobody knows who should act. A Forbes Business Council essay by Deepthi Bathina, founder and CEO of GW RhythmX, argues that the value lies in connecting insights to care workflows.
Why it mattersHer practical test is to decide what happens next before judging a model: who receives an alert, what intervention they should make, and who takes over if the patient cannot be reached. She also advises defining the decision before choosing the success metric. That is useful advice for health systems weighing AI tools: a sharper risk score is not the same thing as better care.
Discuss: Should hospitals prioritise more accurate predictions, or make sure someone can act on the ones they already have?
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