Healthcare Finance: Artificial intelligence predictive analytics performs fairly well in solving complex operational problems – outpatient MRI appointment no-shows, especially – using a modest amount of data and basic feature engineering, and can help cut down on such no-shows, according to findings published in the American Journal of Roentgenology.
What's convenient and beneficial about the data is that in many cases it's readily retrievable from frontline IT systems that are commonly used in hospital radiology departments. It can also be readily incorporated into routine workflows, which the authors said can improve the quality and efficiency of healthcare delivery.
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