Kayla Secrest was a newly fledged doctor beginning a residency programme at a Michigan hospital when she had her first frustrating encounter with AI. Managers had implemented an algorithm designed to scan patients’ records every 15 minutes and send an alert if red flags for sepsis were detected. It was the kind of innovation that the AI industry likes to highlight: taking a routine but vitally important task, and automating it. But hopes it would lighten her load were soon dashed. “Over the course of a few months, I realised, ‘Gosh, this alert is coming up for every single one of my patients,’ and I would start to glaze over,” she recalls, likening it to the boy in the fable who cried “wolf”. Eventually, she and her colleagues lost faith in the tool and no longer rushed to patients’ bedsides when the notifications popped up. Only later did she discover it had been rolled out to hundreds of hospitals without extensive testing in the real-life hurly-burly of a ward or emergency department. Read more here. submitted by /u/financialtimes
Originally posted by u/financialtimes on r/ArtificialInteligence