Open-Source Ultrasound Trainer for Healthcare Professionals

Introduction This technical report describes the development of a high-fidelity, open-source ultrasound trainer and showcases its abilities through a proof-of-concept, pilot randomized control trial. The open-source ultrasound trainer (OSUT) aims to enhance anatomical visualization during ultrasound education. The OSUT can attach to any ultrasound transducer, uses minimal hardware, and is able to be used during live patient ultrasound examinations. Methods After viewing a standardized training video lecture, 24 incoming first-year medical students with no prior ultrasound experience were randomized into a control group given an ultrasound system or an intervention group given the OSUT in addition to an ultrasound system. Both groups were tasked with localizing the thyroid, abdominal aorta, and right kidney on a patient. Performance outcomes were structure localization time, ultrasound image accuracy, and preactivity and postactivity participant confidence. Results The OSUT decreased right kidney localization time (Kruskal-Wallis, P < 0.001), increased sonographer right kidney accuracy ratings (Mann-Whitney U, U = 10.5, P < 0.05), and increased confidence in structure identification (Mann-Whitney U, U = 37, P = 0.045) and overall ultrasound ability (Wilcoxon signed-rank test, P = 0.007). There was no significant change in localization time, accuracy ratings, or participant confidence for locating the thyroid and abdominal aorta. Conclusions A high-fidelity, open-source ultrasound trainer was developed to aid healthcare professionals in learning diagnostic ultrasound. The study demonstrated the potential beneficial effects of the OSUT in localizing the right kidney, showcasing its adaptability and accessibility for ultrasound education for certain anatomical structures.