Jane Petersson
Papers
4
Total Citations
38
H-Index
4
About
Jane Petersson is a leading researcher at the intersection of surgical robotics, medical education, and human factors engineering. Her work focuses on optimizing training methodologies for robot-assisted minimally invasive surgery (RAMIS), with particular emphasis on the roles of augmented reality (AR) and virtual reality (VR) in surgical skill acquisition. Petersson’s most-cited paper (2017, 12 citations) pioneered the use of AR depth cues to enhance instructor-trainee communication during robotic surgery training, demonstrating how virtual surgical instruments can improve skill transfer. She has also advanced team training protocols, showing the feasibility of VR-based collaborative exercises for surgical teams (2018, 9 citations). Recognizing the critical but often overlooked role of operating room nurses, Petersson conducted a Delphi study to identify essential curriculum content for nurses in robotic surgery (2022, 10 citations), and her systematic review (2024, 7 citations) synthesized best practices for their education. Her work addresses the high cost and limited availability of robotic training equipment, proposing scalable, technology-enhanced solutions. With a cumulative citation count of 38, Petersson’s research is shaping how surgical teams—from surgeons to nurses—are trained for the next generation of minimally invasive procedures.
Research Focus
Key Achievements
Top Papers
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