Solution: This solution uses the Internet of Medical Things (IoMT) to automatically monitor hand disinfection of medical workers through an algorithm. The basis for the development of the algorithm are scenarios that prevent the transmission of infection, relaying on key moments in the behavior of medical staff in patient care and registration of hand hygiene actions - registration of medical worker, frequency and the place of action. For example, when a medical worker with a sensor badge enters a room in front of which there is a disinfectant dispenser, which also has a sensor on it, the program uses a signal from both sensors to detect whether the same person used the dispenser when entering or not. Also, the same room has a disinfectant dispenser with a sensor, which the medical worker activates every time before and after the patient's care. The use of a dispenser at the exit of the room also identifies the disinfection of the hands of the medical worker when leaving the room. Data from all sensors are wirelessly sent to the database, where the analytical program processes the history of actions, ie. the compliance of the use of dispensers with disinfectant with the given protocol of hand hygiene of employees in the institution. This technology of precise monitoring of hand disinfection aims to motivate medical workers to comply more closely with hand hygiene protocols, raise the health culture to a higher level and thus reduce the possibility of transmitting nosocomial infections. The company plans to intervene in a certain health institution on a defined group of health workers, who ordinate in the selected area, with an already established procedure for maintaining hand hygiene.