Related Experiment Video
Updated: Jun 23, 2026
Optimizing Minimally Invasive Spine Surgery: A Fully 3D CT O-Arm Navigated Workflow in MIS TLIF
Published on: October 17, 2025
Image-guided navigation: the surgeon's perspective on performance consequences and human factors issues
Dietrich Manzey1, Stefan Röttger, J Elin Bahner-Heyne
1Department of Work, Engineering and Organizational Psychology, Institute of Psychology and Ergonomics, Technische Universität Berlin (TUB), Germany. dietrich.manzey@tu-berlin.de
Image-guided navigation (IGN) enhances surgical performance and patient safety. However, training and time are crucial for surgeons, especially new users, to mitigate risks like overreliance and increased workload.
Area of Science:
- Surgical Technology
- Human Factors Engineering
- Medical Device Innovation
Background:
- Image-guided navigation (IGN) is an initial step toward surgical automation.
- Human factors are critical considerations for IGN's impact on surgical performance and patient safety.
Purpose of the Study:
- To assess surgeons' perceptions of performance consequences and human factors issues associated with IGN.
- To evaluate IGN's effects on situation awareness, performance, workload, overreliance, skill degradation, and usability.
Main Methods:
- A nationwide survey was conducted among 213 surgeons across 112 German hospitals.
- The survey focused on perceived impacts of IGN on surgical practice and human factors.
Main Results:
- Surgeons generally report improved performance and patient safety with IGN.
- Inexperienced users noted increased time pressure and mental demands.
- Overreliance on IGN was identified as a risk in a minority of cases.
Conclusions:
- IGN is perceived as a valuable tool for surgeons.
- Adequate training and sufficient time are essential for surgeons during IGN system familiarization.
More Related Videos
10:25Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
Published on: September 2, 2025
05:37Cone Beam Intraoperative Computed Tomography-based Image Guidance for Minimally Invasive Transforaminal Interbody Fusion
Published on: August 6, 2019