mHealth Center for Discovery, Optimization, and Translation of Temporally-Precise Interventions (mDOT)

时间精确干预措施的发现、优化和转化移动医疗中心 (mDOT)

基本信息

批准号：
10025130
负责人：
Santosh Kumar
金额：
$ 133.45万
依托单位：
UNIVERSITY OF MEMPHIS
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-15 至 2025-11-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10025130
关键词：
Academia Accounting Algorithmic Software Architecture Awareness Behavior Behavioral Big Data Biological Markers Cellular Phone Chronic Disease Clinical Collaborations Communities Companions Complex Computer software Data Data Security Data Sources Development Diet Disease Disease Outcome Ensure Environment Evaluation Goals Health Health Benefit Health Promotion Health behavior Healthcare Individual Industry Infrastructure Institutes Intervention Joints Knowledge Learning Life Link Location Medical Mentors Methodology Methods Modeling Monitor Outcome Patient Care Patients Population Positioning Attribute Preventive Privacy Procedures Productivity Psychological reinforcement Research Research Personnel Resources Risk Risk Factors Self Care Series Services Sleep Smoking Structure System Technology Time Training Training Programs Translations Treatment Efficacy Uncertainty Vision Work burden of illness data streams design digital field study health management healthy lifestyle improved innovation learning strategy mHealth mobile computing multimodality multiple chronic conditions next generation novel open source personalized intervention personalized learning physical inactivity preference prevent public health relevance research and development sensor sensor technology software infrastructure technological innovation technology research and development technology training tool uptake

项目摘要

Primary Investigator: Kumar, Santosh mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions (mDOT) – Overall Abstract: Providing care for patients with chronic diseases is one of the biggest drivers of the nation’s rising healthcare spending. Many of these diseases are inextricably linked to mutable health behaviors such as poor diet, lack of physical activity, and smoking. A key strategy for making self-care and preventive health behaviors more achievable has been the integration of passive monitoring into everyday life via mobile sensors and providing personalized information and guidance to patients. But, to have the maximum long-term efficacy, such mHealth interventions must be delivered at the most opportune moment and its content must be dynamically personalized to the individual, their current context, and changing preferences. Our proposed mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions (the mDOT Center) will provide the methods, tools, and infrastructure for researchers to discover, optimize and deploy temporally-precise mHealth interventions. Organized around three Technology Research & Development (TR&D) projects, mDOT represents a unique national resource that will develop multiple methodological and technological innovations, including easily deployable wearables, apps for wearables and smartphones, and a companion mHealth cloud system, all open-source. TR&D1 will develop, evaluate and disseminate methods to analyze population-scale multi-modal time series of mHealth biomarkers to identify the momentary risk factors and risk dynamics that drive adverse health outcomes, while accounting for the uncertainty and missingness inherent in these data sources. TR&D2 will develop new reinforcement learning methods to personalize the selection and delivery of mHealth interventions to individuals at their own optimal times and locations so as to maintain user engagement and provide precise and maximal health benefits. TR&D3 will develop, validate and disseminate algorithms, tools and software/hardware designs that will enable large-scale deployment of resource-efficient, real-time, low-latency and privacy-aware digital biomarkers. Together, these mDOT deliverables will transform the ability of researchers and innovators to exploit the exploding range of sensors and mobile technologies to develop and deliver dynamically personalized and temporally-precise mHealth interventions to individuals. The iterative “push-pull” interaction with collaborative projects (CP) and direct dissemination to service projects (SP’s) will ensure that the technologies developed by our TR&Ds’ solve real- world problems, are usable by other researchers, and will have the broadest impact. The mDOT Center’s training and dissemination (T&D) activities will seek to maximize the societal impact of our technologies by promoting broad distribution and uptake of mDOT technologies and resulting software beyond mDOT affiliates. Finally, a unifying mDOT administrative core and optimized operating procedures will facilitate interactions among TR&D researchers and their associated CPs and SPs; assess the productivity and impact of Center activities; and provide ongoing management, oversight, and planning. 1

主要研究员：库马尔，桑托什移动医疗发现、优化和翻译中心时间精确干预 (mDOT) 的数量 – 总体摘要：为慢性病患者提供护理是国家崛起的最大推动力之一。其中许多疾病与不稳定的健康行为（例如贫困）有着千丝万缕的联系。饮食、缺乏体力活动和吸烟是自我保健和预防性健康行为的关键策略。更可行的是通过移动传感器将被动监控集成到日常生活中为患者提供个性化信息和指导但是，为了获得最大的长期疗效，例如移动医疗干预措施必须在最合适的时机实施，其内容必须是动态的针对个人、他们当前的背景和不断变化的偏好进行个性化。我们提议的移动医疗中心，用于发现、优化和翻译时间精确干预措施（mDOT 中心）将为研究人员提供方法、工具和基础设施，以发现、优化和部署时间精确的移动医疗干预措施围绕三项技术研发进行组织。 (TR&D) 项目，mDOT 代表了独特的国家资源，将开发多种方法和技术创新，包括易于部署的可穿戴设备、可穿戴设备和智能手机的应用程序以及配套的 mHealth 云系统，全部开源，TR&D1 将开发、评估和传播方法。分析人口规模的移动医疗生物标志物多模式时间序列，以确定瞬时风险因素以及导致不良健康结果的风险动态，同时考虑不确定性和缺失 TR&D2 将开发新的强化学习方法来个性化这些数据源。在个人的最佳时间和地点选择和提供移动医疗干预措施，以便 TR&D3 将开发、验证和保持用户参与并提供精确和最大的健康益处。传播算法、工具和软件/硬件设计，以实现大规模部署这些 mDOT 集资源高效、实时、低延迟和隐私意识于一体。可交付成果将改变研究人员和创新者利用爆炸式增长的传感器范围的能力，移动技术开发和提供动态个性化和时间精确的移动医疗对个人的干预。与协作项目（CP）和直接的迭代“推拉”互动。传播到服务项目（SP）将确保我们的 TR&D 开发的技术解决实际问题世界问题可供其他研究人员使用，并将产生最广泛的影响。 mDOT 中心的培训和传播 (T&D) 活动将寻求最大限度地发挥我们的社会影响通过促进 mDOT 技术和由此产生的软件的广泛传播和采用来技术最后，统一的 mDOT 管理核心和优化的操作程序将有助于实现。 TR&D 研究人员及其相关 CP 和 SP 之间的互动评估生产力和影响；中心活动；并提供持续的管理、监督和规划。 1