Alexander Gregory L, Rantz Marilyn, Skubic Marjorie, Koopman Richelle J, Phillips Lorraine J, Guevara Rainer D, Miller Steven J
University of Missouri, Sinclair School of Nursing.
J Healthc Eng. 2011;2(3):337-363. doi: 10.1260/2040-2295.2.3.337.
This paper describes the evolution of an early illness warning system used by an interdisciplinary team composed of clinicians and engineers in an independent living facility. The early illness warning system consists of algorithms which analyze resident activity patterns obtained from sensors embedded in residents' apartments. The engineers designed an automated reasoning system to generate clinically relevant alerts which are sent to clinicians when significant changes occur in the sensor data, for example declining activity levels. During January 2010 through July 2010, clinicians and engineers conducted weekly iterative review cycles of the early illness warning system to discuss concerns about the functionality of the warning system, to recommend solutions for the concerns, and to evaluate the implementation of the solutions. A total of 45 concerns were reviewed during this period. Iterative reviews resulted in greater efficiencies and satisfaction for clinician users who were monitoring elder activity patterns.
本文描述了一个由独立生活设施中的临床医生和工程师组成的跨学科团队所使用的早期疾病预警系统的演变过程。早期疾病预警系统由算法组成，这些算法分析从居民公寓中嵌入的传感器获取的居民活动模式。工程师设计了一个自动推理系统，以生成与临床相关的警报，当传感器数据发生重大变化（例如活动水平下降）时，这些警报会发送给临床医生。在2010年1月至2010年7月期间，临床医生和工程师对早期疾病预警系统进行了每周一次的迭代评审周期，以讨论对预警系统功能的担忧，为这些担忧推荐解决方案，并评估解决方案的实施情况。在此期间共审查了45个担忧问题。迭代评审为监测老年人活动模式的临床医生用户带来了更高的效率和满意度。
