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)

• 批准号: 10541801
• 负责人: Santosh Kumar
• 金额: $ 114.34万
• 依托单位: UNIVERSITY OF MEMPHIS
• 依托单位国家: 美国
• 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/10541801
• 关键词: Academia; Algorithms; 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; Digital biomarker; Disease; Disease Outcome; Ensure; Environment; Evaluation; Explosion; Goals; Health; Health Benefit; Health Promotion; Health behavior; Healthcare; Individual; Industry; Infrastructure; Intervention; Joints; Knowledge; Learning; Life; Link; Location; Medical; Mentors; Methodology; Methods; Modeling; Monitor; Outcome; Patient Care; Patients; Persons; 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; Unhealthy Diet; Vision; Work; burden of illness; data streams; design; digital intervention; field study; healthy lifestyle; improved; innovation; intervention delivery; learning strategy; mHealth; mobile computing; mobile sensor; multimodality; multiple chronic conditions; next generation; novel; open source; personalized intervention; physical inactivity; preference; prevent; public health relevance; sensor; sensor technology; software infrastructure; technological innovation; technology research and development; technology training; tool; uptake; usability; wearable device

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 移动健康中心的发现、优化和翻译 时间精准干预(MDOT)--总体 摘要：为慢性病患者提供护理是推动国家经济增长的最大动力之一 医疗保健支出。这些疾病中的许多都与不稳定的健康行为有千丝万缕的联系，比如 节食、缺乏体力活动和吸烟。制定自我保健和预防性健康行为的关键策略 更有可能实现的是通过移动传感器将被动监控融入日常生活 为患者提供个性化信息和指导。但是，要有最大的长期效果，就像 移动健康干预必须在最适当的时候提供，其内容必须是动态的 针对个人、他们的当前环境和不断变化的偏好进行个性化。 我们为发现、优化和翻译时间精确干预而提议的移动健康中心 (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 部署临时精确的移动健康干预措施。围绕三项技术研发组织 (R&D)项目，MDOT是一种独特的国家资源，它将制定多种方法和 技术创新，包括可轻松部署的可穿戴设备、用于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。技术研究与发展司将制定、评估和传播方法，以 分析人群规模的多模式时间序列的mHealth生物标志物，以识别瞬时风险因素 以及驱动不利健康结果的风险动态，同时解释了不确定性和缺失性 这些数据源中所固有的。TR&D2将开发新的强化学习方法，使 选择并在个人的最佳时间和地点向他们提供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，以支持大规模部署 资源高效、实时、低延迟和隐私感知的数字生物标记物。总而言之，这些MDOT 交付成果将改变研究人员和创新者开发爆炸性范围的传感器和 开发和提供动态个性化和时间精确化的移动健康服务的移动技术 对个人的干预。与协作项目(CP)和直接项目(DIRECT)的迭代“推-拉”交互 推广到服务项目(SP)将确保我们的研发部门开发的技术能够真正解决- 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)活动将寻求最大化我们的 通过促进MDOT技术和由此产生的软件的广泛分发和采用 MDOT附属公司。最后，统一的MDOT管理核心和优化的操作程序将促进 研发人员与他们相关的CP和SP之间的互动；评估以下方面的生产力和影响 中心活动；并提供持续的管理、监督和规划。 1