Papers

4

Total Citations

33

H-Index

4

About

Dailen Brown is a researcher at the forefront of medical simulation and procedural training, with a focused expertise in improving the safety and efficacy of Central Venous Catheterization (CVC). His work addresses a critical clinical challenge: the up to 39% of adverse effects patients experience during CVC procedures. Brown’s major contribution is the development of the Dynamic Haptic Robotic Trainer (DHRT), a novel system designed to replace subjective, variable training with standardized, automated performance assessment. By providing objective metrics for needle insertion skills, his research—including highly cited papers like "Going the (social) distance" (10 citations) and "Objective Assessment Metrics for Central Line Simulators" (9 citations)—demonstrates how haptic feedback and data-driven evaluation can dramatically improve resident training. His comparative studies show that comprehensive simulation, as enabled by the DHRT, outperforms traditional methods in preparing physicians for ultrasound-guided internal jugular CVC. With a growing body of work accumulating over 30 citations, Brown is establishing himself as a key innovator in simulation-based medical education, directly translating engineering principles into safer clinical practices.

Research Focus

Key Achievements

4
H-Index
4
Papers
33
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Going the (social) distance: Comparing the effectiveness of online versus in-person Internal Jugular Central Venous Catheterization procedural training
10 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Pennsylvania State University, Cedars-Sinai Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago