Robin Clarke

University of California, Los Angeles

Papers

1

Total Citations

11

H-Index

1

About

Dr. Robin Clarke is a pioneering figure in the application of natural language processing (NLP) to surgical quality improvement, with a primary focus on urologic oncology. His landmark 2016 work, “Development and Validation of an Automated Method to Identify Patients Undergoing Radical Cystectomy for Bladder Cancer Using Natural Language Processing,” established a transformative framework for extracting structured clinical data from unstructured electronic health records. By demonstrating that NLP could accurately identify and characterize complex surgical cases—such as radical cystectomy—with high fidelity, Dr. Clarke addressed a critical bottleneck in quality measurement and outcomes research. This contribution has garnered 11 citations and laid the groundwork for scalable, automated surveillance of surgical care. His research sits at the intersection of health informatics, clinical epidemiology, and cancer care delivery, enabling more efficient case identification for large-scale studies and hospital benchmarking. Dr. Clarke’s work empowers researchers and clinicians to move beyond manual chart review, accelerating the pace of evidence generation in bladder cancer and beyond. His innovative methodology continues to influence how health systems leverage electronic data for performance improvement and patient safety.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Development and Validation of an Automated Method to Identify Patients Undergoing Radical Cystectomy for Bladder Cancer Using Natural Language Processing
11 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of California, Los Angeles

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago