Mohit Gilotra
Associate Professor · Shoulder and Elbow Surgery
University of Maryland, BaltimoreAbout
Mohit Gilotra, MD serves as Associate Professor of Orthopaedics at the University of Maryland School of Medicine, specializing in comprehensive shoulder and elbow care including complex trauma, rotator cuff repair, reverse shoulder arthroplasty, and minimally invasive techniques for conditions ranging from acromioclavicular injuries to Tommy John reconstruction.
His educational pathway includes:
- MD from Jefferson Medical College
- Orthopaedic Surgery Residency at University of Maryland Medical System/R Adams Cowley Shock Trauma Center
- Shoulder & Elbow Fellowship at University of Pennsylvania Medical Center
- Advanced Elbow Arthroscopy Training at Tulane University
Dr. Gilotra's research program focuses on three interconnected pillars: novel rotator cuff repair methodologies, implant infection prevention strategies (particularly against Cutibacterium acnes), and reverse shoulder arthroplasty design optimization. His work integrates biomechanical testing, large database analyses, and randomized clinical trials to address critical gaps in orthopaedic outcomes.
Analysis of his 15 most recent publications reveals dominant themes in reverse shoulder arthroplasty innovation (dual-cup designs, instability management), infection risk mitigation (preoperative protocols, steroid injection timing), and patient compliance monitoring (sling wear verification). These studies consistently leverage national databases and biomechanical models to establish evidence-based practice standards.
His scientific recognition includes:
- Charles S. Neer Award for the landmark "Benzoyl Peroxide Effectively Decreases Preoperative Propionibacterium Acnes Shoulder Burden" trial
Dr. Gilotra actively mentors orthopaedic residents and fellows while leading NIH-funded clinical trials. His research team collaborates with biomechanics laboratories and national registries to translate findings into improved surgical protocols, with ongoing projects examining patient expectation management and implant-bone interface optimization.
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