Integrating & Visualizing Clinical, Environmental, and Sensor Data

整合

• 批准号: 9077038
• 负责人: ALEX BUI
• 金额: $ 212.06万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9077038
• 关键词: Air; Architecture; Asthma; Automobile Driving; Caregivers; Child; Childhood Asthma; Client; Clinical; Clinical Data; Communication; Computer software; Data; Data Analyses; Data Collection; Data Set; Data Sources; Databases; Development; Devices; Educational Materials; Electronic Health Record; Ensure; Environment; Evaluation; Event; Feedback; Foundations; Goals; Health; Health Personnel; Health system; Imagery; Indium; Individual; Informatics; Information Systems; Information Technology; Link; Los Angeles; Machine Learning; Measurement; Measures; Methods; Modeling; Neighborhoods; Online Systems; Parents; Particulate Matter; Patient Outcomes Assessments; Patient Self-Report; Patients; Pharmaceutical Preparations; Phenotype; Physicians; Physiological; Play; Pollen; Process; Protocols documentation; Psyche structure; Published Comment; Quality of life; Recommendation; Reporting; Research Infrastructure; Research Personnel; Research Project Grants; Retrieval; Risk; Schedule; Self Management; Sleep; Software Engineering; Source; Specific qualifier value; Stream; Structure; Surveys; Symptoms; System; Testing; Text; Time; TimeLine; Update; Weather; Work; abstracting; asthmatic patient; base; clinical application; computerized data processing; data management; data modeling; data visualization; design; experience; flexibility; handheld mobile device; health application; improved; information gathering; innovation; iterative design; mHealth; meetings; mobile application; novel; ohmage; open source; population based; predictive modeling; response; sensor; tocol; tool; trafficking; usability

PROJECT 2 ABSTRACT (PROJECT DESCRIPTION) Context and usability are important drivers behind the design of the Biomedical REAl-Time Health Evaluation for Pediatric Asthma (BREATHE) platform. First, without context, it becomes difficult to understand the data cap- tured by sensors, diminishing the utility of observations. This observation spurs BREATHE to incorporate as much information about a patient and his/her situation and surroundings in order to fully contextualize interpre- tations and make informed recommendations. Second, usability is an imperative consideration in mobile health (mHealth): if the system is perceived as unusable – for any reason – patients will fail to be compliant and the mHealth application will ultimately fail. These two ideas motivate Project 2, which develops the informatics infra- structure to enable context around sensed data, to analyze the data, and to optimize the range of interactions and activities different users will have with BREATHE. Project 2 starts with development of a unified, extensible data model for pediatric asthma, establishing a common foundation for standardizing and organizing information. The data model creates a comprehensive view across different types of sensed information (physiologic, environmental), clinical information, and self-reported infor- mation (e.g., symptoms), all accrued over time. Given this data model, Project 2 establishes an information architecture that enables new data sources (e.g., real-time air quality reports, electronic health records) to be combined with sensor data, providing additional context. Open source projects (UIMA, Taverna) are adapted to provide a flexible framework for specifying data collection protocols and associated data processing workflows on these integrated datasets. As a use case, the linkage of processing workflows to statistical and machine learning methods to aid in predictive risk modeling of asthma exacerbations is considered, along with support for real-time analytics in order to facilitate timely responses by the BREATHE system. Finally, the unified data model also enables the creation of a range of user interfaces (UI) and visualizations: ohmage is leveraged to bootstrap mobile device client and UI development, including the deployment of scheduled surveys, reminders, and data collection; and web-based UIs are proposed to support the review of data collection protocols and patient-specific timeline views that enable clinicians and researchers to “drill down” into collected information. Usability concerns are reflected in the development of these various UIs through careful requirements analysis, and iterative design and testing. In this regard, Project 2 works closely with Project 1 to develop BREATHE’s mobile device interfaces, and with Project 3 to garner feedback on system design and usability in order to refine the platform over the course of the Center’s efforts.

项目2摘要（项目描述） 上下文和可用性是设计生物医学实时健康评估背后的重要驱动力 小儿哮喘（呼吸）平台。首先，没有上下文，很难理解数据上限 通过传感器来调整，减少了观测的效用。这种观察刺激的呼吸以纳入 有关患者及其处境和周围环境的大量信息，以使解释完全背景化 - 提出明智的建议。其次，可用性是移动健康的急需考虑因素 （MHealth）：如果将系统视为无法使用 - 出于任何原因 - 患者将无法合规，并且 MHealth应用程序最终将失败。这两个想法动机项目2，发展了信息基础设施 - 结构以启用感应数据，分析数据并优化相互作用范围的结构 和不同用户呼吸的活动。 项目2始于开发小儿哮喘的统一，可扩展的数据模型，建立一个常见 标准化和组织信息的基础。数据模型跨越了 不同类型的感知信息（生理，环境），临床信息和自我报告的信息 随着时间的推移会积聚。鉴于此数据模型，项目2建立了一个信息 使新数据源（例如，实时空气质量报告，电子健康记录）的体系结构成为 结合传感器数据，提供其他上下文。开源项目（UIMA，Taverna）适用于 提供一个灵活的框架，用于指定数据收集协议和关联的数据处理工作流程 在这些集成的数据集上。作为用例，处理工作流程与统计和机器的链接 考虑了辅助哮喘加剧的预测风险建模的学习方法，并支持 用于实时分析，以促进呼吸系统及时响应。最后，统一数据 模型还可以创建一系列用户界面（UI）和可视化：将欧马数用于 Bootstrap移动设备客户端和UI开发，包括计划调查，提醒， 和数据收集；并提出了基于Web的UI，以支持数据收集协议的审查和 特定于患者的时间表观察，使临床医生和研究人员可以“向下钻探”收集的信息。 可用性问题反映在通过仔细的要求分析中的这些UI的开发中， 以及迭代设计和测试。在这方面，项目2与项目1紧密合作以开发呼吸 移动设备界面，以及项目3，以获得有关系统设计和可用性的反馈，以完善 该平台在中心的努力过程中。