This technical report presents the results of a pilot study evaluating the USMC, a telemedicine module designed for automated pre-shift and post-shift health screening of professional drivers. The pilot was conducted at the “Malashevtsi” depot of Stolichen Avtotransport EAD (Sofia, Bulgaria) between April and August 2024. The module was located in the office of the staff physician, and throughout the pilot study, measurements were taken in a controlled environment. The study assessed the system’s capability to measure key vital signs (blood pressure, pulse, temperature), detect alcohol presence, and identify potential drug impairment. A total of 214 unique drivers completed 872 automated medical examinations, with an average examination time of 2 minutes 14 seconds. The system identified disrupted cardiovascular parameters in 75% of non-admitted cases and detected arrhythmia-related irregularities in 15% of drivers. One case of alcohol misuse was registered. The pilot demonstrated that a single USMC module can screen up to 100 drivers per 12-hour shift, supporting digitalization of occupational health workflows and improving the early detection of medical risks in high-responsibility transport operations. The report includes project chronology, performance metrics, system configuration, and technical characteristics of the USMC module, confirming readiness for large-scale deployment.

This abstract summarizes a pilot evaluation of the USMC telemedicine module used for automated pre-shift and post-shift health screening of professional drivers at the “Malashevtsi” depot of Stolichen Avtotransport EAD (Sofia, Bulgaria). The system recorded 872 examinations performed on 214 drivers between April and August 2024. Measurements were conducted in a controlled clinical environment under supervision of the staff physician. The USMC module demonstrated reliable assessment of vital signs (blood pressure, pulse, temperature), alcohol detection, and drug impairment screening using a pupillometry-based test. The system identified abnormal cardiovascular parameters in 75% of non-admitted cases and detected arrhythmia-related anomalies in 15% of drivers. One case of alcohol misuse was registered. The results show that a single USMC unit can screen up to 100 drivers per 12-hour shift, supporting digital transformation of occupational health workflows and enabling earlier detection of medical risks in high-responsibility transport operations.