Paper
5 June 1998 Technology and human errors in image-guided surgeries
Zhaowei Jiang, Song Miao, Lucia J. Zamorano, Qinghang Li M.D., JianXing Gong, Fernando Diaz M.D.
Author Affiliations +
Proceedings Volume 3262, Surgical-Assist Systems; (1998) https://doi.org/10.1117/12.309458
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States
Abstract
Using image guidance for stereotactic surgery has been widely adopted in neurosurgery, orthopedic surgery and other surgery operations. Careful, precise and robust implementation of image-guidance can offer surgeon accurate intra-operative information that traditional techniques can not reach. Weak design, careless utilization, and dilemma in quality assurance protocol may result in severe scenarios. It is because that introducing image guidance into the operating room involves high precise technologies, delicate instruments and sophisticated processes. These can offer precision as well as space for human errors. A method based on the 'failure modes and effects analysis' is introduced to systematically study human errors in the image-guided surgery field. The paper presented the fundamental steps and architectures of the method. For better understanding of the method, a simple example is also provided. Analyzing human errors with the 'failure mode and effects analysis' benefits the development life cycle of the image-guided surgery system. It also helps for designing the clinical quality assurance process and the training courses for surgeons.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhaowei Jiang, Song Miao, Lucia J. Zamorano, Qinghang Li M.D., JianXing Gong, and Fernando Diaz M.D. "Technology and human errors in image-guided surgeries", Proc. SPIE 3262, Surgical-Assist Systems, (5 June 1998); https://doi.org/10.1117/12.309458
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Cited by 2 scholarly publications.
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KEYWORDS
Surgery

Image-guided intervention

Error analysis

Image processing

Failure analysis

Image segmentation

System identification

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