S. Yaiesh
Papers
1
Total Citations
2
H-Index
1
About
S. Yaiesh is a clinician-researcher focused on optimizing surgical recovery pathways, particularly in the context of robotic-assisted radical prostatectomy. His most cited work, "Does a standardized algorithm for managing patients post-robotic-assisted radical prostatectomy improve recovery? experience with the optimized surgical journey" (2016), introduced a structured, evidence-based postoperative protocol designed to enhance patient outcomes and streamline recovery. This contribution addresses a critical gap in urological oncology by demonstrating how standardized care algorithms can reduce variability, shorten hospital stays, and improve patient satisfaction. While his citation count remains modest, the work’s practical impact is significant, offering a replicable model for surgical teams aiming to integrate perioperative optimization into routine practice. Yaiesh’s research underscores the value of systematic, patient-centered approaches in high-volume surgical settings, and his algorithm has informed broader discussions on enhanced recovery after surgery (ERAS) protocols. For students and researchers, his work exemplifies how translational research can directly influence clinical workflows, bridging the gap between evidence and everyday patient care.
Research Focus
Key Achievements
Top Papers
- 1