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Prisms Informatics Platform - Federated Integration Architecture

Prisms 信息学平台 - 联合集成架构

基本信息

批准号：
9360155
负责人：
Julio Cesar Facelli
金额：
$ 9.98万
依托单位：
UNIVERSITY OF UTAH
依托单位国家：
美国
项目类别：
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-30 至 2020-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9360155
关键词：
Affect Architecture Asthma Behavioral Child Child health care Childhood Childhood Asthma Chronic Chronic Disease Cities Clinical Clinical Data Clinical Research Clinical Sciences Clinical assessments Code Collaborations Common Core Common Data Element Communication Communities Complex Computer software Data Data Collection Data Coordinating Center Development Environment Environmental Exposure Experimental Designs Family Frequencies Future Health Healthcare High Performance Computing Home environment Informatics Interdisciplinary Study Knowledge Link Location Measures Medicine Modality Monitor Outcome Participant Pediatric Research Physiological Process Quality of life Recording of previous events Research Research Infrastructure Research Personnel Resolution Secure Sodium Chloride Software Engineering Structure Symptoms System Technology Time Translational Research U-Series Cooperative Agreements Utah Work base biomedical informatics built environment care burden clinical care clinically relevant computer science computerized data processing data acquisition data exchange data integration data modeling design experience flexibility health care service utilization improved indexing innovation insight interest interoperability mobile application open source programs sensor tool user centered design user-friendly

项目摘要

DESCRIPTION (provided by applicant): Asthma is the most common pediatric chronic illness in the US and associated with significant health care burden. Despite advances in treatment, asthma control in children remains generally poor. Poor control is associated with physiological and behavioral factors as well as with environmental exposures. While research efforts have been devoted to studying the impact of physiological and behavioral factors on asthma, research on the effects of environmental exposures in children with asthma is limited. Recent advances in sensor technologies offer new ways to measure environmental exposures and improve asthma research. However, use of sensor data in research remains uncommon and multiple barriers exist. Sensor data are complex, being variable in structure from sensor to sensor, high volume and acquired at a high frequency (e.g. every minute or more), and multi-dimensional, with sensor data linked to geo-spatial location, time, and description of exposures. Further, sensors lack standards for data collection and data exchange of environmental exposures, lack common data elements, have inadequate interfaces for families, and lack of secure communication modalities for data transmission. Moreover, little effort has been made to integrate sensor data with clinical data, making it difficult to study the actual effects of the environment on asthma. The proposed PRISMS - Informatics Federation Architecture Center provides standard-based, open access architecture and standardized processes for acquisition, integration, and management of sensor data, along with clinical data from longitudinal assessments of asthma symptoms, quality of life, health care usage, and other asthma related outcome metrics. Specifically, we propose to develop three synergistic and tightly integrated projects that make up an innovative sensor monitoring system, including: Project 1: Develop infrastructure and software to facilitate data acquisition and information exchange. We will develop a platform for mobile apps to support data extraction from the child's home and environment sensors, and data processing and user-friendly interface for data presentation to the participants. Project 2: Develop a high-resolution data integration platform that will provide the common core, allowing sensor data to be integrated with clinical data, and mechanisms for securely transmitting data to the PRISMS data coordinating center. This project will leverage existing Open Further architecture, open source frameworks that promote code reusability and interoperability. Project 3: Develop a platform for researchers with flexible user interface to configure a variety of experimental designs. We will use user-centered design to develop both user and researcher interfaces. These projects are tightly integrated, linked by the architecture in project 2. Overall, these projects will standardize data collection from environmental various sensors, data integration with clinical data and presentation to enhance research to improve our knowledge of the impact of environmental exposures on children with asthma.

描述（由申请人提供）：哮喘是美国最常见的儿科慢性疾病，并与显著的医疗保健负担相关。尽管治疗取得了进展，但儿童哮喘控制仍然普遍较差。控制不善与生理和行为因素以及环境暴露有关。虽然研究工作一直致力于研究生理和行为因素对哮喘的影响，但对哮喘儿童环境暴露影响的研究有限。传感器技术的最新进展为测量环境暴露和改善哮喘研究提供了新的方法。然而，在研究中使用传感器数据仍然不常见，存在多种障碍。传感器数据是复杂的，在结构上从传感器到传感器是可变的，高容量并且以高频率（例如每分钟或更长时间）获取，并且是多维的，其中传感器数据与地理空间位置、时间和暴露的描述相关联。此外，传感器缺乏环境暴露数据收集和数据交换的标准，缺乏共同的数据元素，家庭接口不足，缺乏安全的数据传输通信模式。此外，几乎没有努力将传感器数据与临床数据相结合，因此很难研究环境对哮喘的实际影响。拟议的PRISMS -信息学联合会架构中心提供基于标准的开放访问架构和标准化流程，用于传感器数据的采集、集成和管理，以及来自哮喘症状、生活质量、医疗保健使用和其他哮喘相关结果指标的纵向评估的临床数据沿着。具体而言，我们建议开发三个协同和紧密集成的项目，组成一个创新的传感器监测系统，包括：项目1：开发基础设施和软件，以促进数据采集和信息交换。我们将为移动的应用程序开发一个平台，以支持从儿童的家庭和环境传感器中提取数据，以及数据处理和用户友好的界面，以便向参与者展示数据。项目二：开发一个高分辨率的数据集成平台，该平台将提供共同的核心，允许传感器数据与临床数据集成，并提供将数据安全传输到PRISMS数据协调中心的机制。这个项目将利用现有的开放进一步的架构，开源框架，促进代码的可重用性和互操作性。项目3：为研究人员开发一个具有灵活用户界面的平台，以配置各种实验设计。我们将使用以用户为中心的设计来开发用户和研究人员界面。这些项目是紧密集成的，通过项目2中的架构联系在一起。总的来说，这些项目将标准化从环境各种传感器收集的数据，与临床数据的数据整合和呈现，以加强研究，提高我们对环境暴露对哮喘儿童影响的认识。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Development of a calibration chamber to evaluate the performance of low-cost particulate matter sensors

DOI：
10.1016/j.envpol.2019.113131
发表时间：
2019-12-01
期刊：
ENVIRONMENTAL POLLUTION
影响因子：
8.9
作者：
Sayahi, T.;Kaufman, D.;Kelly, K. E.
通讯作者：
Kelly, K. E.

W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets.

DOI：
10.3390/s21175801
发表时间：
2021-08-28
期刊：
Sensors (Basel, Switzerland)
影响因子：
0
作者：
Li K;Deng H;Morrison J;Habre R;Franklin M;Chiang YY;Sward K;Gilliland FD;Ambite JL;Eckel SP
通讯作者：
Eckel SP

Ambient and laboratory evaluation of a low-cost particulate matter sensor.

DOI：
10.1016/j.envpol.2016.12.039
发表时间：
2017-02
期刊：
ENVIRONMENTAL POLLUTION
影响因子：
8.9
作者：
Kelly, K. E.;Whitaker, J.;Petty, A.;Widmer, C.;Dybwad, A.;Sleeth, D.;Martin, R.;Butterfield, A.
通讯作者：
Butterfield, A.

Exploring the Personal Informatics Analysis Gap: "There's a Lot of Bacon".

探索个人信息学分析差距：“培根有很多”。