A machine-learning approach to picking a surgeon has shown to deliver better outcomes than methods such as consumer ratings or star rankings.
By Scott Wooldridge|January 06, 2021 at 10:35 AM
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When searching for the best surgeon for care such as hip-replacement surgery, consumers may get a major assist from artificial intelligence (AI), a new study says. The report in the Journal of Medical Internet Research (JMIR) compared health care decision-making based a range of choices: consumer ratings; quality stars; reputation rankings; volumes and outcomes; and precision machine learning-based rankings.
That last category looked at a type of AI that uses data to determine whether a hospital is a good fit for a potential patient, based on that hospital’s history with similar patients. The researchers focused on elective hip replacement surgeries, which are among the most commonly performed surgeries in the U.S. Other research has shown a wide variation in performance and outcomes across hospitals for this type of surgery.
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