面向传染病疫情管理中物联网赋能机器人护士的成本优化系统工程
Cost-Optimized Systems Engineering for IoT-Enabled Robot Nurse in Infectious Pandemic Management
AI总结：
本研究针对疫情下医疗感染风险与效率问题，提出物联网控制的机器人护士系统，可实现健康评估、给药等自动化功能并支持监督控制，经测试验证了其在多场景下的性能，助力疫情管理降本增效。
摘要：
随着机器人技术领域的进步能够实现时间与成本节约、减少浪费并改善患者护理，该技术在医疗机构中的应用日益广泛。依托自动化的数字医疗技术（如机器人和人工智能），长期来看有望提升医疗系统的可持续性与盈利能力。然而，近期的COVID-19疫情凸显了信息物理机器人实现检查与给药自动化的需求。由物联网（IoT）控制的机器人护士可充当自动化医疗助手，同时支持基于自定义指令的监督控制。该系统有助于降低感染风险并改善疫情场景下的救治效果。本研究提出了一个护士机器人测试案例，该机器人可评估患者健康状况并采取相应行动。我们还从给药操作、健康状态监测和生命周期考量三个方面评估了该系统的性能。
英文摘要：
The utilization of robotic technology has gained traction in healthcare facilities due to progress in the field that enables time and cost savings, minimizes waste, and improves patient care. Digital healthcare technologies that leverage automation, such as robotics and artificial intelligence, have the potential to enhance the sustainability and profitability of healthcare systems in the long run. However, the recent COVID-19 pandemic has amplified the need for cyber-physical robots to automate check-ups and medication administration. A robot nurse is controlled by the Internet of Things (IoT) and can serve as an automated medical assistant while also allowing supervisory control based on custom commands. This system helps reduce infection risk and improves outcomes in pandemic settings. This research presents a test case with a nurse robot that can assess a patient's health status and take action accordingly. We also evaluate the system's performance in medication administration, health-status monitoring, and life-cycle considerations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
