CDI - Type II: Transforming Community-Based Elder Care through Heterogeneous Activity Sensing Analytics

CDI - II 类：通过异构活动感知分析转变基于社区的老年护理

• 批准号: 1028195
• 负责人: Magdalena Balazinska
• 金额: $ 149.69万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1028195&HistoricalAwards=false
• 关键词: CDI; Type; II; Transforming; Community

Health care systems face critical challenges as people live longer with multiple chronic conditions that increase their need for health care services. Addressing the needs of an aging population requires improved methods for community-based preventive care through ongoing monitoring, early detection of adverse events and patterns, and early intervention.This project addresses this challenge by developing a transformative pipeline of flexible tools for at-home activity monitoring and analysis. The key goal is to enable at-home deployments of flexible sensor platforms and tools for agile analysis of this sensor data by users with varying skill sets and information needs. To achieve this goal, the project focuses on three specific challenges. First, this project is developing new platforms for deploying different combinations of at-home sensors according to varying elder needs. Second, this project is creating new tools for converting the raw sensor data into knowledge of elder activities and their impact on elder care. This requires rapid organization, analysis, and interpretation of heterogeneous and noisy data across multiple scales of analysis. Finally, the project is developing new techniques to support the varying and unpredictable information needs of all actors involved in elder care: the elders themselves, informal caregivers (e.g., family members), formal caregivers (e.g., community nurses), and health researchers (e.g., evaluating the effectiveness of different prescribed activity regimens).The expected results of this project include (a) new platforms that integrate a variety of heterogeneous home sensors, (b) new streaming data models and query processing techniques addressing the noisy, low-level, and bursty nature of home activity sensing data, (c) new techniques for effective end-user interaction with this data, (d) a system that integrates all three components into a single data acquisition and analysis pipeline, and (e) deep knowledge of how this transformative pipeline can benefit community elder care.Through the above contributions, this project will have broad impact in both computer science and elder care in the United States. The goal is to provide higher quality care at lower cost that keeps elders in their homes longer.

医疗保健系统面临着关键的挑战，因为人们在多种慢性病中寿命更长，从而增加了对医疗服务的需求。满足老龄化人口的需求需要通过持续监测，不良事件和模式的早期发现以及早期干预来改进基于社区的预防性护理的方法。该项目通过开发一种可在家庭活动监控和分析的灵活工具的变革性工具来解决这一挑战。关键目标是通过具有不同技能集和信息需求的用户来启用灵活的传感器平台和工具，以敏捷的传感器平台和工具来分析此传感器数据。为了实现这一目标，该项目着重于三个具体挑战。首先，该项目正在开发新的平台，以根据不同的老年人需求来部署家庭传感器的不同组合。其次，该项目正在创建新的工具，以将原始传感器数据转换为老年人活动知识及其对老年人护理的影响。这需要对多个分析量表的异质和嘈杂数据的快速组织，分析和解释。最后，该项目正在开发新技术，以支持所有参与老年人护理的参与的各种参与的各种参与的信息需求：长者本身，非正式护理人员，非正式护理人员（例如家庭成员），正式的照顾者，社区护士（例如，社区护士）和健康研究人员和健康研究人员（例如，评估了这些计划的各种计划的范围）。传感器，（b）新的流媒体数据模型和查询处理技术，以解决家庭活动感测数据的嘈杂，低级和爆发性质，（c）有效的最终用户与此数据相互作用的新技术，（d）将所有三个组成部分整合到所有三个组件中，将所有三个组成部分整合到单个数据获取和分析的范围内，并将其贡献到该项目的范围内，并有利于这一范围的范围。在美国的计算机科学和老年护理中。目的是以较低的成本提供更高质量的护理，以使长者在家中更长的时间。