Evolution of an Early Illness Warning System to Monitor Frail Elders in Independent Living.
Evolution of an Early Illness Warning System to Monitor Frail Elders in Independent Living.
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DOI：
10.1260/2040-2295.2.3.337
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发表时间：
2011
影响因子：
--
通讯作者：
Miller SJ
中科院分区：
文献类型：
--
作者：
Alexander GL;Rantz M;Skubic M;Koopman RJ;Phillips LJ;Guevara RD;Miller SJ
本文描述了一个由临床医生和工程师组成的跨学科团队在一个独立的生活设施中使用的早期疾病预警系统的演变。早期疾病预警系统由分析居民活动模式的算法组成，这些活动模式是从居民公寓中嵌入的传感器获得的。工程师们设计了一个自动推理系统，当传感器数据发生重大变化（例如活动水平下降）时，该系统会生成临床相关警报，并发送给临床医生。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每周迭代审查，以讨论对预警系统功能的关注，建议解决方案，并评估解决方案的实施情况。在此期间共审查了45项关切。迭代审查提高了监测老年人活动模式的临床医生用户的效率和满意度。
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.
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DOI：
10.1046/j.1532-5415.2003.51360.x
发表时间：
2003-08-01
影响因子：
6.3
作者：
Boockvar, KS;Lachs, MS
通讯作者：
Lachs, MS
影响因子：
1.8
作者：
Haigh, Karen Zita;Kiff, Liana M.;Ho, Geoffrey
通讯作者：
Ho, Geoffrey
影响因子：
--
作者：
Koskela, Tiiu;Vaananen-Vainio-Mattila, Kaisa
通讯作者：
Vaananen-Vainio-Mattila, Kaisa
DOI：
10.1097/ans.0b013e3181b0d737
发表时间：
2009-07
期刊：
ANS. Advances in nursing science
影响因子：
--
作者：
Alexander G;Staggers N
通讯作者：
Staggers N
影响因子：
4.3
作者：
Rantz, MJ;Marek, KD;Hussam, A
通讯作者：
Hussam, A