Surgical Simulation And Training
216 researchers across 7 institutions
Research in surgical simulation and training focuses on developing and evaluating methods to improve surgical skills and patient safety. Investigations explore the efficacy of various simulation technologies, including virtual reality, augmented reality, and haptic feedback systems, for teaching complex procedures. Studies examine the cognitive and psychomotor aspects of surgical learning, assess performance metrics in simulated environments, and investigate the transfer of skills from simulation to the operating room. This area also encompasses curriculum development for surgical education, the creation of standardized assessment tools, and the exploration of artificial intelligence and machine learning applications to personalize training pathways and provide real-time feedback.
This research holds significant relevance for Arkansas by supporting the state's growing healthcare sector and addressing the need for a skilled surgical workforce. Enhanced surgical training can lead to improved patient outcomes across Arkansas, particularly in rural areas where access to specialized care may be limited. By developing more efficient and effective training methods, the state can retain and attract top medical talent, contributing to economic development and public health initiatives. Furthermore, advancements in simulation technology can foster innovation within Arkansas's technology and advanced manufacturing industries.
This field draws upon expertise from medical education, engineering, and computer science. Engagement spans multiple institutions across Arkansas, bringing together a diverse group of faculty and graduate students to address critical challenges in surgical proficiency and patient care.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| David Cheng Chang | UAMS | 44 | 8,415 | High Impact | |
| Mehran Armand | University of Arkansas | 39 | 4,670 | Faculty | Grant PI High Impact |
| Gresham Thomas Richter | UAMS | 38 | 4,567 | High Impact | |
| John L. Dornhoffer | UAMS | 35 | 4,275 | High Impact | |
| Michail N. Mavros | UAMS | 31 | 4,095 | ||
| Erika Petersen | UAMS | 30 | 3,192 | Faculty | High Impact |
| Jeffrey B. Stambough | UAMS | 29 | 3,058 | Faculty | High Impact |
| Susan A. Nowell | UAMS | 26 | 2,441 | High Impact | |
| Steven D. Vold | University of Arkansas | 25 | 2,446 | High Impact | |
| Mohammad Pakravan | UAMS | 25 | 2,440 | High Impact | |
| William C. Beck | UAMS | 22 | 1,762 | Grant PI High Impact | |
| Robert G. Dixon | UAMS | 20 | 2,394 | High Impact | |
| James C. Yuen | UAMS | 19 | 1,424 | Faculty | High Impact |
| Jamie A. Cannon | UAMS | 19 | 1,834 | ||
| Charles A. James | UAMS | 18 | 1,454 | Faculty | |
| Brian Reemtsen | UAMS | 18 | 1,438 | Faculty | |
| Karen Joanna Dickinson | UAMS | 18 | 962 | Faculty | |
| Lindsey L. Wolf | UAMS | 18 | 1,007 | Faculty | |
| Richard L. Crownover | UAMS | 17 | 1,371 | ||
| Sonia Tewani Orcutt | UAMS | 16 | 1,403 | Faculty |
Related Research Areas
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW
Top US institutions in this area
- 1 Johns Hopkins University 1,670
- 2 Harvard University 1,527
- 3 Stanford University 1,151
- 4 University of Michigan 1,132
- 5 Brigham and Women's Hospital 994
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Surgical Simulation And Training.