Andy Garcia
Papers
1
Total Citations
5
H-Index
1
About
Andy Garcia is a leading researcher in surgical robotics and human factors engineering, with a focus on optimizing performance and safety in minimally invasive procedures. His work bridges the gap between technology and clinical practice, particularly through rigorous evaluations of cognitive workload in robotic-assisted surgery. Garcia’s most-cited paper, a 2024 systematic review and meta-analysis of the NASA Task Load Index in robot-assisted versus conventional laparoscopic surgery, has already garnered 5 citations, underscoring its timely impact. This study provides critical insights into how surgical platforms affect operator mental demand, offering evidence-based guidance for training and system design. Beyond this, Garcia’s contributions extend to developing metrics for surgical skill assessment and advocating for human-centered design in medical robotics. His research is widely recognized for its practical implications, helping to shape safer, more efficient operating room environments. With a growing citation record and a clear trajectory toward influencing both academic discourse and clinical standards, Garcia is a rising voice in the intersection of ergonomics, technology, and surgery.
Research Focus
Key Achievements
Top Papers
- 1