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.

由于患有多种慢性病的人们寿命更长，增加了对医疗保健服务的需求，医疗保健系统面临着严峻的挑战。满足人口老龄化的需求需要通过持续监测、早期发现不良事件和模式以及早期干预来改进基于社区的预防保健方法。该项目通过开发用于家庭活动的灵活工具的变革性渠道来应对这一挑战监测和分析。主要目标是实现灵活的传感器平台和工具的在家部署，以便具有不同技能和信息需求的用户能够敏捷地分析这些传感器数据。为了实现这一目标，该项目侧重于三个具体挑战。首先，该项目正在开发新平台，根据不同的老年人需求部署不同的家庭传感器组合。其次，该项目正在创建新工具，将原始传感器数据转换为有关老年人活动及其对老年人护理影响的知识。这需要跨多个分析尺度快速组织、分析和解释异构和噪声数据。最后，该项目正在开发新技术，以支持参与老年人护理的所有参与者的不同且不可预测的信息需求：老年人本身、非正式护理人员（例如家庭成员）、正式护理人员（例如社区护士）和健康研究人员（例如，评估不同规定活动方案的有效性）。该项目的预期结果包括（a）集成各种异构家庭传感器的新平台，（b）新的流数据模型和查询处理技术，以解决噪声、家庭活动传感数据的低水平和突发性，(c) 最终用户与这些数据进行有效交互的新技术，(d) 将所有三个组件集成到单个数据采集和分析管道中的系统，以及(e ）深入了解这一变革性管道如何使社区老年护理受益。通过上述贡献，该项目将对美国的计算机科学和老年护理产生广泛影响。目标是以更低的成本提供更高质量的护理，让老年人在家里呆得更久。