Hospital for Special Surgery’s Post

Tony S. Shen, MD, hip and knee surgeon at HSS, presented “Using Machine Learning to Predict Need for Hospital Admission after Total Hip or Total Knee Arthoplasty” at a session today at the American Academy of Orthopaedic Surgeons (AAOS) Annual Meeting. According to Dr. Shen, as more joint replacements are taking place in ambulatory settings, safety must be the priority. Today, institutions have specific criteria that work for them. What we are trying to do is organize and analyze data and find patterns that will help us predict who would benefit the most from a hospital stay and who be truly safe to go home. This study is a starting point, but in the future, we will have better tools, better data, and better ways of knowing what the best practice should be. #AAOS2024

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Sandra Bossi

Senior Director of Clinical Operations Administration @ LiveOnNY | MCM, MA

9mo

It's great to see the traction your data-driven work is receiving, Tony! I'm excited about the potential for the insights gained from this approach to enhance future clinical decisions. 👏

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