A Counting Error Induced by the SurgiCount Safety-Sponge System.
Case report examining retained surgical item risk and the potential for downstream errors in sponge-counting technologies, including data-matrix-coded sponge systems.
Peer-reviewed research behind surgical intelligence.
nSight’s origins and development are informed by academic research connected to surgical workflow analysis, operating room video, computer vision-enabled improvement, and retained surgical item risk reduction.
Selected publications.
Peer-reviewed work connected to nSight’s clinical, technical, and workflow foundations.
Assessment of Team Dynamics and Operative Efficiency in Hip and Knee Arthroplasty
A peer-reviewed study showing how team dynamics, staff turnover, and surgeon-preferred staff can affect operative efficiency and perioperative communication.
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Analysis of Computer Vision Methods for Counting Surgical Instruments
Computer vision review focused on detecting and localizing surgical instruments outside the operative field, including the feasibility and challenges of using vision-based methods to support surgical count workflows.
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Turning Practicing Surgeons Into Health Technology Innovators: Outcomes From the Stanford Biodesign Faculty Fellowship
Publication on the Stanford Biodesign Faculty Fellows program and its role in helping practicing clinicians identify unmet needs, develop health technologies, and translate innovation toward patient care.
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From research to real OR deployment.
nSight builds on academic work in surgical workflow analysis and computer vision, then applies those ideas in real operating room environments to help hospitals improve efficiency, cost, and safety.