Alexander G L, Wilbik A, Keller J M, Musterman K
Appl Clin Inform. 2014 Jan 29;5(1):73-84. doi: 10.4338/ACI-2013-07-RA-0050. eCollection 2014.
Sensor systems detect critical health changes of frail residents in the community. However, sensor systems alone may not allow users to identify data trends fast enough. Linguistic summaries of sensor data describing elder activity in their apartment provide a useful solution so clinicians can respond quicker.
This paper describes two case studies of independent elders living with sensors in their assisted living apartment. Residents experienced declining health status and activity level over a period of approximately 24 months. Linguistic summaries were assessed iteratively by engineers and nurses working with the sensor system.
We created summaries of activity data collected from sensors located in resident apartments during a period of health status change. Engineers distilled information from heterogeneous data sources including bedroom motion and bed restlessness sensors during the summarization process. Engineers used fuzzy measures to compare two different periods of nighttime activity. Using iterative approaches a registered nurse worked with the team to develop algorithms and short phrases that appropriately capture and describe changes in activity levels.
Total activity levels captured by sensors were graphed for two elderly residents experiencing health problems over a period of months. In the first case study (resident 3004), an elderly resident had knee surgery and onset of backspasms postoperatively. Graphed dissimilar measures show changes from baseline when backspasms occur. In the second case study (resident 3003), there were increased periods of bed restlessness before and after a resident had a major surgical procedure. During these periods, graphs of dissimilarity measures indicate that there were changes from usual baseline periods of restlessness postoperatively indicating the health problems were persisting. Nurse care coordination notes indicate these episodes were related to poor pain control.
Summaries of activity change are useful for care coordinators to detect resident health status for community dwelling residents.
传感器系统可检测社区中体弱居民的关键健康变化。然而,仅靠传感器系统可能无法让用户足够快速地识别数据趋势。描述老年人在其公寓内活动的传感器数据语言摘要提供了一个有用的解决方案,以便临床医生能够更快地做出反应。
本文描述了两个关于在辅助生活公寓中使用传感器的独立老年人的案例研究。居民在大约24个月的时间里健康状况和活动水平下降。工程师和使用该传感器系统的护士对语言摘要进行了迭代评估。
我们创建了在健康状况变化期间从居民公寓中的传感器收集的活动数据摘要。在汇总过程中,工程师从包括卧室运动和卧床不安传感器在内的异构数据源中提取信息。工程师使用模糊度量来比较夜间活动的两个不同时间段。一名注册护士采用迭代方法与团队合作,开发出能够适当捕捉和描述活动水平变化的算法和简短短语。
绘制了数月来两名健康出现问题的老年居民的传感器捕捉到的总活动水平图。在第一个案例研究(居民3004)中,一名老年居民进行了膝盖手术,术后出现背部痉挛。绘制的差异度量显示了背部痉挛发生时与基线的变化。在第二个案例研究(居民3003)中,一名居民进行大手术后,卧床不安的时间段增加。在这些时期,差异度量图表明术后不安的通常基线期出现了变化,表明健康问题持续存在。护士护理协调记录表明这些发作与疼痛控制不佳有关。
活动变化摘要有助于护理协调员检测社区居住居民的健康状况。