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

主要调查员：库马尔，桑托什 MHealth发现，优化和翻译中心暂时性干预措施（MDOT） - 总体摘要：为患有慢性疾病的患者提供护理的提供者是美国崛起的最大驱动力之一医疗保健支出。这些疾病中有许多与可变的健康行为（例如贫穷）密不可分饮食，缺乏体育锻炼和吸烟。做出自我保健和预防健康行为的关键策略更容易实现的是通过移动传感器和向患者提供个性化信息和指导。但是，要具有最大的长期效率， MHealth的干预措施必须在最大的机会时刻进行，其内容必须动态地进行个性化对个人，他们当前的上下文以及不断变化的偏好。我们提议的MHealth发现，优化和翻译时间精致干预措施的中心（MDOT中心）将提供方法，工具和基础架构，以供研究人员发现，优化和部署暂时专门的MHealth干预措施。围绕三个技术研发组织（TR＆D）项目，MDOT代表了一种独特的国家资源，将发展多种方法论和技术创新，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伴侣MHealth云系统，都是开源的。 TR＆D1将开发，评估和传播方法分析MHealth生物标志物的人群尺度多模式时间序列，以识别瞬时风险因素以及驱动不良健康结果的风险动态，同时考虑不确定性和失踪这些数据源固有。 TR＆D2将开发新的强化学习方法，以个性化在自己的最佳时间和位置选择和交付MHealth干预措施，以便保持用户参与度并提供精确和最大的健康益处。 TR＆D3将开发，验证和传播算法，工具和软件/硬件设计，这些设计将使大规模部署资源效率，实时，低延迟和隐私感知的数字生物标志物。在一起，这些MDOT 可交付成果将改变研究人员和创新者利用传感器爆炸范围和移动技术以开发和提供动态个性化和暂时专门的MHealth 对个人的干预。与协作项目（CP）和直接的迭代“推力”互动向服务项目（SP）传播将确保我们的TR＆D求解的技术开发的技术世界问题，其他研究人员可用，并将产生最大的影响。 MDOT中心的培训和传播（T＆D）活动将寻求最大化我们的社会影响通过促进广泛的分发和MDOT技术的吸收和生成的软件，超越 MDOT分支机构。最后，统一的MDOT管理核心和优化的操作程序将有助于 TR＆D研究人员及其相关的CPS和SP之间的相互作用；评估生产率和影响中心活动；并提供持续的管理，监督和计划。 1