All events
- All dayEmployee Art ExhibitArt exhibit highlighting creative the creative talent of UConn Health Employees from across the organization.
- All dayMartha G. Trask and Jeff Ostergren on Display"Expressions in Multimedia" by Martha G. Trask "Secondary Effects" by Jeff Ostergren Join us for a reception Thursday, May 22, from 4 to 6 p.m. in the Celeste LeWitt Gallery. (north side of the food court)Martha G. Trask is an expressive mixed media artist who happens to work in our library.Jeff Ostergren infuses his paint with actual medications to tell stories about the intertwined histories of pharmaceuticals and color.
- All dayUConn ECE Spring and Full-Year Course Evaluation Period
- 8:00 AM8h 30mNew Employee Orientation Day TwoUConn Health Day 2 new employee orientation is conducted on Saba. It focuses on comprehensive training for our newest workforce, covering diversity awareness, sexual harassment prevention, and compliance to ensure a respectful and compliant work environment.AgendaDay 2Format: Saba Self-Guided Learning Time: 8 am - 4:30 pm Location: RemoteActivities: Dive deeper into your compliance and role-specific training and explore resources at your own pace.
- 8:00 AM9hAccessibility/Universal Design for Learning SummitPlease refer to the conference website (https://s.uconn.edu/accessudl2025) for details on the sessions and schedule. Also, space is limited for some of the sessions. Please register for individual sessions on FINS to ensure there is enough space. Registration links for each session are on the conference website. Also, please email karen.skudlarek@uconn.edu (mailto:karen.skudlarek@uconn.edu) if you have any dietary needs or restrictions or require an accommodation to participate in this event. Requests much be received at least 10 business days in advance. Live transcription will be available for the keynote and student panel (during lunch). Parking is not included with the registration. Please make arrangements with your department, if needed.
- 12:05 PM45mGroup Fitness Class – TRX Circuit (45)For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).
- 4:30 PM1hGroup Fitness Class – 50/50For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).
- 5:30 PM1h 30mUConn Orthopaedic Surgery Journal ClubSpeakers: 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)