Background Supervising ultrasound (US) examinations in emergency settings means time-sensitive
               decision-making to ensure accuracy for the critically ill, with the rare ressource
               of attending physicians often representing a bottleneck. We evaluate the usability
               of a live tele-supervision workflow for radiology residents performing bedside US
               in critical care.
            
               Methods We implemented a proprietary system enabling real-time simultaneous US screen capture
               and webcam streaming of the examined patient region, into our US workflow used for
               critical care settings (i.e., bedside US at emergency department and intensive care
               units). The system was adapted allowing seamless live-stream integration into a web
               meeting call operated by headset. Attendings remotely observed residents' examinations
               and provided real-time instructions. The system was piloted in 50 cases across the
               spectrum of our services. Metrics of diagnostic performance, resident confidence,
               and workflow efficiency were recorded and compared to 50 control cases without tele
               supervision. Resident and attending satisfaction were assessed via surveys.
            
               Results Preliminary results revealed tele-supervised examinations to significantly improve
               diagnostic accuracy and work efficiency (p<0.05) by simultaneously increasing teaching
               quality as observed by residents (p<0.05). Attendings rated remote supervision as
               comparable to in-person guidance. No adverse events or workflow flaws were reported.
            
               Conclusion Live tele-supervision has the potential to significantly improve the efficiency and
               accuracy of bedside and distant ultrasound examinations performed by residents, with
               high levels of satisfaction among both residents and attending radiologists. This
               approach has the potential to transform ultrasound training and patient care in remote
               or resource-limited environments, ensuring timely and accurate diagnoses. Future work
               will focus on scaling this system for broader clinical applications.