Artificial intelligence-enabled aid can improve quality of decisions regarding knee OA
Published results showed use of an artificial intelligence-enabled decision aid significantly improved decision quality, level of shared decision-making, satisfaction and physical limitations among patients with knee osteoarthritis.
Prakash Jayakumar, MBBS, DPhil, and colleagues randomly assigned 129 patients who presented with knee OA into either a group that received an artificial intelligence (AI)-enabled patient decision aid that included patient education, preference assessment and personalized outcome estimations (n=69; intervention group) or a group that received educational material only (n=60; control group) alongside usual care. Researchers measured decision quality using the knee OA decision quality instrument as the primary outcome, while secondary outcomes included collaborative decision-making, patient satisfaction with consultation, KOOS joint replacement score, consultation time, total knee replacement rate and treatment concordance.
Results showed better decisional quality, collaborative decision-making, satisfaction and improved functional outcomes at 4 to 6 months among the intervention group. Researchers also found use of the intervention did not significantly affect consultation time, TKR rates or treatment concordance.
“Patient decision aids utilizing AI-driven predictive analytics and patient-reported outcome measures provide precise, personalized information for patients and surgeons that improve the quality and outcomes of surgical decision-making compared to patient education alone,” Jayakumar told Healio Orthopedics. “AI combining clinical data and patient reported outcomes provides a person specific, data-driven approach to transforming surgical decision-making and promoting the right care at the right time for orthopedic patients and populations.”
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