Augmented Reality Solution for Sterile Field Proximity / Contact Detection and Visualization
UCF Office of Research & Commercialization, FL, United States
A new computer-based sensing (e.g., passive/active computer vision), tracking, proximity/contact detection, event chaining, and visualization techniques to transform sterile field training techniques and clinical practices into an exercise that automates oversight and provides visual/auditory indications of performance to decrease nosocomial infections.
Primary Application Area: Medical Devices
Technology Development Status: Concept
Technology Readiness Level: TRL 1
FIGURES OF MERIT
Value Proposition: Current sterile field training methods involve subjective human observation and are unreliable as evidenced by large rates of infections, and associated high costs. This new system introduces computer-based methods that make potential (invisible) contaminants visible, transforming the subjective training process, into an automated process that is objective, controlled, and repeatable.
Organization Type: Academic/Gov Lab
Showcase Booth #: 523
GOVT/EXTERNAL FUNDING SOURCES
Government Funding/Support to Date:
Primary Sources of Funding: Federal Grant, University
Looking for: Both Funding and Development Partners