Speakers: Scott Mallozzi, MD, Vinayak Sathe, MD, Joshua Namm, MD, Kevin Shea, MD, and Michael Sobieraj, MD Date: May 19, 2025 Time: 5:30pm-7:00pm Location: Live Virtual https://us06web.zoom.us/j/83620804177?pwd=kLmHzLYhmiWNDjAMy4uimPCyWmLaJm.1 Target Audience: Faculty, Staff, and trainees at the UConn Health Center Title: • Scott Mallozzi, MD and Vinayak Sathe, MD: An Opioid Free Perioperative Pain Protocol Is Noninferior to Opioid Containing— Management: A Randomized Control Trial • Joshua Namm, MD: Effect of Surgical Fixation Timing On In Hospital Mortality and Morbidity of Distal Femur Fractures • Kevin Shea, MD: Outcomes of Reverse Shoulder Arthroplasty in Patients Under 55: Results from The New Zealand Joint Registry • Michael Sobieraj, MD: Operative or Nonoperative Treatment Is Predicted Accurately for Patients Who Have Hip Complaints Consulting An Orthopedic Surgeon Using Machine Learning Algorithms Trained With Prehospital Acquired History Taking Data Learning Objectives: Participants will (be able to): 1. Compare the efficacy and safety of a novel opioid-free pain management pathway with that of an opioid-containing pathway across 5 common orthopaedic subspecialty surgical procedures. (Dr Scott Mallozzi and Dr. Vinayak Sathe) 2. Understand that the optimal timing for surgical fixation of distal femur fractures is critical for orthopedic clinicians, as it may significantly impact early patient outcomes, including in-hospital mortality and postoperative complications. (Dr. Joshua Namm) 3. Evaluate the evidence presented to determine the impact of patient age on functional outcomes, complication rates, and implant survivorship following RSA. (Dr. Kevin Shea) 4. Assess the potential of machine learning algorithms in predicting treatment strategies for hip osteoarthritis and apply this knowledge to improve patient triage and decision-making in clinical practice. (Dr. Michael Sobieraj)

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