Hospitals did not adopt artificial intelligence in a single, deliberate moment. It arrived in pieces: an imaging algorithm, a documentation assistant, a staffing forecast, a patient-message generator, a denial prediction model, a scheduling tool. Each product entered through a different department, answered a different need, and was evaluated against a different budget. That fragmented path made adoption feel manageable. It also concealed what hospitals were actually taking on. An AI product is…
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