Bryce Baird

About

Bryce Baird is a urologic surgeon and researcher focused on advancing surgical efficiency and outcomes in robot-assisted urologic procedures. His work centers on optimizing operating room (OR) workflows and refining predictive models for renal function after nephrectomy. Baird’s most impactful study, “Analysis of Operating Room Efficiency During Robot-Assisted Urologic Surgeries Utilizing Fixed (Nonprocedural) Operative Times” (2021, 7 citations), prospectively analyzed 635 surgeries to identify nonprocedural time sinks, offering data-driven strategies to improve OR throughput. He further validated a novel baseline estimated glomerular filtration rate (NB-GFR) formula in a robotic-assisted partial nephrectomy cohort (2022, 4 citations), providing a practical tool for predicting postoperative renal function. Baird also contributed a rare case report on robotic transvesical excision of a bladder leiomyoma (2022, 4 citations), demonstrating a minimally invasive approach with rapid recovery. His comparative analysis of fixed and variable OR time points in partial nephrectomies (2022, 2 citations) underscores his commitment to evidence-based surgical efficiency. With a growing citation footprint, Baird’s work bridges clinical innovation and operational precision, making him a rising voice in robotic urology and perioperative optimization.

Research Focus

Key Achievements

Top Papers

1. 1
   Analysis of Operating Room Efficiency During Robot-Assisted Urologic Surgeries Utilizing Fixed (Nonprocedural) Operative Times

   7 citations · 2021
2. 2
   Robotic transvesical bladder leiomyoma excision

   4 citations · 2022
3. 3
   Validation of new baseline renal function predictive model in robotic‐assisted partial nephrectomy cohort

   4 citations · 2022
4. 4
   Analysis of fixed and variable operating room (or) time point efficiency in partial nephrectomies: open versus robotic-assisted

   2 citations · 2022

Key Collaborators

Contact & Links