According to the study, the AI approach allows a more personalized choice—the algorithm matches the patient to the hospital that has the best outcomes for patients with similar profiles.

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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