Gamification, or adding elements of games to training systems, has the potential to increase learner engagement and information retention. However, the use of gamification has yet to be explored in Central Venous Catheterization (CVC) trainers which teach a commonly performed medical procedure with high incidence rates. In order to combat these errors, a Dynamic Haptic Robotic Trainer (DHRT) was developed, which focuses on vessel identification and access. A DHRT+ system is currently under development that focuses on whole procedure training (e.g. sterilization and catheter insertion), including a gamified Graphical User Interface. The goal of this paper was to (1) develop a game-like, patient-centered interface to foster personalized learning and (2) understand the perceived utility of gamification for CVC skill development with expert doctors. This paper outlines some of the potential benefits and deficits of the use of gamification in medical trainers that can be used to drive simulation design.
A Computer Vision enabled Smart Tray (CVST) was designed for use in medical training for Central Venous Catheterization (CVC). The effects of background color on the ability of the computer vision algorithm to distinguish between tools and the tray was investigated. In addition, the computer vision algorithm was evaluated for accuracy in tool detection. Results indicate that a white monochromatic background is the most useful for segregating background from medical tools, and the algorithm was successfully able to detect 5 different CVC tools both individually and as a group in various arrangements, even when tools overlapped or touched. When the system was in error, it was nearly always due to one tool which has a color similar to that of the background. The CVST shows promise as a CVC training tool and demonstrates that computer vision can be used to accurately detect medical tools.
Introduction: Performance assessment and feedback are critical factors in successful medical simulation-based training. The Dynamic Haptic Robotic Trainer (DHRT) allows residents to practice ultrasound-guided needle insertions during simulated central venous catheterization (CVC) procedures while providing detailed feedback and assessment. A study was performed to examine the effectiveness of the DHRT in training the important skills of needle tip tracking and aspiration and how these skills impact procedural complications in simulated CVC. Methods: The DHRT data were collected for 163 residents at 2 hospitals for 6 simulated needle insertions. Users were given automated feedback on 5 performance metrics, which measure aspiration rate, arterial punctures, punctures through and through the vein, loss of access to the vein, and successful access to the vein. Aspiration rates and tip tracking rates were analyzed to determine their significance in preventing CVC complications and improving performance. Results: Tip tracking rates higher than 40% were 2.3 times more likely to result in successful venous access than rates less than 10%. Similarly, aspiration rates higher than 80% were 2.6 times more likely to result in successful venous access than rates less than 10%. Proper tip tracking and aspiration both reduced mechanical complications. Resident performance improved for all metrics except tip tracking. Conclusions: Proper tip tracking and aspiration both reduced complications and increased the likelihood of success. However, the skill of tip tracking was not effectively learned through practice without feedback. Therefore, ultrasound-guided needle-based procedures, including CVC, can be improved by providing specific feedback to users on their ultrasound usage to track needle insertions.
A concept for a sensorized medical tray in conjunction with real-time visual cues to aid medical residents in learning the steps of complicated tray-based medical procedures, such as central venous catheterization, was designed and tested as a first iteration. This paper outlines the selection of an LED screen to illuminate various medical devices and the testing of simple magnetic reed switches to use as sensors to track the movement of various medical tools from a tray. While this concept was designed around central venous catheterization, this work is translatable to any medical procedure using a pre-packaged plastic tray.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.