Maintenance, care and control of ambulance car equipment from the view of paramedic

Paramedics use, as part of their work, their own potential, for example knowledge, experience and skill. They must also be able to deal with medical devices and medical instruments, they have to know how to use them and also how to control them and maintain them. This thesis focuses on the area of control, care and maintenance carried out by paramedics on medical devices. Further specification of these activities is not appropriately analyzed in current literature. Only legal sources, technical standards or user manuals of individual medical devices are available. Activities in relation to the care, maintenance, and control of medical devices in particular, are major part of paramedic workload prior to the emergency medical services itself. Each paramedic should have a precise idea of how to treat particular medical device, maintain it and service it. Bachelor thesis therefore aims to define and map the extent of the activities of paramedics during the performance of maintenance tasks, control and care of medical equipment of EMS vehicles, while it also wants to highlight the risks associated with the performance of these activities. Through the comparison of available resources, activities in connection with the performance of control operations, maintenance and care executed by paramedics on specific medical devices and equipment EMS vehicle were mapped. These activities are then described in individual sections of this thesis. The research was carried out as a survey with sample of 91 respondents, paramedic students, and interviews with paramedics and emergency medical services personnel in Ústí nad Labem and South Bohemia Region. To ensure the goal of this thesis, time range, frequency, and frequency of individual tasks and activities related to maintenance, inspection and care of medical equipment were determined. I see the main contribution of this thesis in specifying the activities and operations of control, care and maintenance of medical devices used every day by paramedics of emergency medical service. Based on my own experience I know that for student purposes there are no guidelines or document illustrating the performance range of activities of control, care and maintenance carried out by paramedics on medical devices. From my position as a paramedic student I perceive the inaccessibility of any comprehensive manual for this area rather negatively. Based on this, I have approached the bachelor thesis in the way, so that it can be the basis or foundation for the creation of this manual, or possibly to become such a simple manual itself. As a future paramedic I think it is important that the education of paramedic students is sufficient and complete to the extent that, when taking into practice paramedic will be a full member of the medical crew in the vehicle of emergency medical services

The Limits of Strong Privacy Preserving Multi-Agent Planning

Multi-agent planning using MA-STRIPS-related models is often motivated by the preservation of private information. Such motivation is not only natural for multi-agent systems, but it is one of the main reasons, why multi-agent planning (MAP) problems cannot be solved centrally. In this paper, we analyze privacy-preserving multi-agent planning (PP-MAP) from the perspective of secure multiparty computation (MPC). We discuss the concept of strong privacy and its implications and present two variants of a novel planner, provably strong privacy-preserving in general. As the main contribution, we formulate the limits of strong privacy-preserving planning in the terms of privacy, completeness and efficiency and show that, for a wide class of planning algorithms, all three properties are not achievable at once. Moreover, we provide a restricted variant of strong privacy based on equivalence classes of planning problems and show that an efficient, complete and strong privacy-preserving planner exists for such restriction

Cooperative Multi-Agent Planning: A survey

[EN] Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms, and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems communities. While planning has been generally treated as a single-agent task, MAP generalizes this concept by considering multiple intelligent agents that work cooperatively to develop a course of action that satisfies the goals of the group. 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