Renaldo C. Blocker

Mayo Clinic in Arizona

Papers

2

Total Citations

86

H-Index

2

About

Renaldo C. Blocker is a leading researcher in surgical safety and human factors engineering, with a focus on quantifying and mitigating surgeon workload and non-routine events in the operating room. His work bridges cognitive ergonomics and clinical practice, using validated tools like the NASA-Task Load Index to objectively measure the mental, physical, and temporal demands of surgery. In his highly cited 2019 pilot study (74 citations), Blocker demonstrated how surgical approach—robotic, laparoscopic, or open—differentially impacts surgeon workload during colorectal procedures, identifying key patient and procedural factors that contribute to cognitive strain. He also pioneered the study of non-routine events in gynecological surgery (2018, 12 citations), classifying their type, impact, and effect on team performance and patient outcomes. His research has profound implications for surgical training, technology design, and workflow optimization, helping to reduce errors and improve patient safety. Blocker’s work is essential reading for anyone interested in the intersection of human factors, ergonomics, and high-stakes medical environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
86
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
NASA-Task Load Index Differentiates Surgical Approach
74 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Mayo Clinic in Arizona

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago