The recent coronavirus pandemic has highlighted the many challenges faced by the healthcare, public safety, and economic systems when confronted with a surge in patients that require intensive treatment and a population that must be quarantined or shelter in place. The most obvious and pressing challenge is taking care of acutely ill patients while managing spread of infection within the care facility, but this is just the tip of the iceberg if we consider what could be done to prepare in advance for future pandemics. Beyond the obvious need for strengthening medical knowledge and preparedness, there is a complementary need to anticipate and address the engineering challenges associated with infectious disease emergencies. Robotic technologies are inherently programmable, and robotic systems have been adapted and deployed, to some extent, in the current crisis for such purposes as transport, logistics, and disinfection. As technical capabilities advance and as the installed base of robotic systems increases in the future, they could play a much more significant role in future crises. This report is the outcome of a virtual workshop co-hosted by the National Academy of Engineering (NAE) and the Computing Community Consortium (CCC) held on July 9-10, 2020. The workshop consisted of over forty participants including representatives from the engineering/robotics community, clinicians, critical care workers, public health and safety experts, and emergency responders. It identifies key challenges faced by healthcare responders and the general population and then identifies robotic/technological responses to these challenges. Then it identifies the key research/knowledge barriers that need to be addressed in developing effective, scalable solutions. Finally, the report ends with the following recommendations on how to implement this strategy.
翻译:近期的冠状病毒大流行凸显了医疗保健、公共安全和经济系统在面临需要密集治疗的病人和必须隔离或栖身的人群激增时所面临的诸多挑战,最明显和最紧迫的挑战在于护理急性病人,同时管理护理设施内感染的蔓延,但这只是冰山的一角,如果我们考虑可以做些什么来预先为今后的流行病做准备的话。除了显然需要加强医疗知识和备灾工作之外,还需要预测和应对与传染病紧急情况有关的工程障碍。机器人技术具有内在的可编程性,机器人系统在当前的危机中已经在某种程度上进行了改造和部署,用于运输、物流和消毒等目的。随着技术能力的提高和机器人系统安装的基础在未来的增多,他们可以在今后的危机中发挥更重要的作用。本报告是国家工程学院和计算机社区联合会(CCC)于2020年7月9日至10日联合举办的虚拟讲习班的结果。 由40多名参与者组成的讲习班确定了工程/机器人系统/机器人系统应对的挑战,随后由工程/机器人临床专家确定这些关键卫生战略如何应对。