SCC: UNITE: Smart, Connected, and Coordinated Maternal Care for Underserved Communities

该项目介绍了Unite(服务不足社区)：一种智能的社区参与模式，部署了无处不在的监测和生活日志；互联，将包括母亲、家庭、护理提供者和外展资源在内的不同社区成员聚集在一起；以及协调，使用技术主动接触社区，并使用个性化干预和教育来改善妇女的自我管理。联合项目倡导一种规模可扩展、可在不同种族社区之间移植的模式，并承诺通过更好的自我管理和社区增强的激励因素来改善结果。联合项目将利用橙县服务不足的母亲社区以及非营利性机构、医院和当地支持组织进行一项对照研究，以评估这种新的社区增强的自我管理方法的有效性及其对社区建设的影响。该项目将建立由医疗保健提供者、保险提供者和政府机构组成的更大社区，这些社区可以共同努力，改善各种社会经济弱势群体的母亲和家庭的福祉和生活方式。联合项目还将培训下一代医疗保健提供者，以经济高效和用户友好的方式部署与社会经济相关的物联网(IoT)技术。联合项目将利用可穿戴物联网设备、生活日志、上下文识别和健康监测，通过两项技术推进，使用多模式数据捕获来构建产妇护理社区的整体数字表型。第一个技术推力将开发一个社区增强的个性化监测和推荐系统。该系统将利用先进的信号处理和随机控制技术，以及在矩阵完成和图形信号处理方面的最新进展，来关闭观测、数据处理和模型建立之间的循环。通过利用围绕母亲个体的社区提供的额外维度，该项目将设计智能挖掘算法，通过在更大社区的背景下通过个性化模型进行原因评估。第二项技术重点将通过注册护士(RN)环路智能监测干预系统实现自我管理，该系统将使用基于可穿戴物联网的身体区域网络持续监测母亲的相关生理体征以及行为信息和社会生活方式，为卫生专业人员提供关于母亲身体和心理健康状况的个性化反馈(例如，通知、警告、建议)以及详细数据。第二个推力中的自我管理将通过第一个推力的个性化社区增强推荐系统来改进和激励，并将导致技术增强的社区护理协调和教育。通过这些技术推进，联合系统将利用无处不在的监测，并开发一种能够动态支持母亲怀孕期间健康生活方式的推荐系统。主要的设计原则是，围绕单个母亲的社区加强监测和干预，实现更个性化的建议，以激励更好的自我管理。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project presents UNITE (UNderserved communITiEs): a community engagement model that is smart, deploying ubiquitous monitoring and lifelogging; connected, bringing together a diverse cast of community members including mothers, families, care providers, and outreach resources; and coordinated, using technology to proactively reach out to the community and use personalized intervention and education for improved self-management by the women. The UNITE project champions a model that is scalable in size, portable across different ethnic communities, and promises improved outcomes through better self-management and community enhanced motivational factors. The UNITE project will perform a controlled study using a community of underserved Orange County mothers together with non-profit agencies, hospitals, and local support organizations to evaluate the efficacy of this new community-enhanced self-management approach, and its impact on community building. The project will build larger communities of healthcare providers, insurance providers, and governmental agencies that can work in concert to enhance the well-being and lifestyles of mothers and families across a diverse spectrum of socio-economically disadvantaged groups. The UNITE project will also train the next generation of healthcare providers to deploy socio-economically relevant Internet-of-Things (IoT) technology in a cost-effective and user-friendly manner. The UNITE project will exploit wearable IoT devices, lifelogging, context recognition, and health monitoring to build holistic digital phenotypes of the maternal care community using multi-modal data capture via two technical thrusts. The first technical thrust will develop a community-enhanced personalized monitoring and recommendation system. The system will leverage advanced signal processing and stochastic control techniques coupled with recent advances in matrix completion and graph signal processing to close the loop between observations, data processing and model building. By exploiting the additional dimension provided by the community surrounding the individual mothers, the project will design smart mining algorithms for cause assessment through personalized models in the context of the larger community. The second technical thrust will enable self-management via a Registered Nurse (RN)-in-the-loop smart monitoring-intervention system that will continuously monitor maternal-related physiological signs as well as behavioral information and social lifestyle of mothers using a wearable IoT-based body area network, offering personalized feedback (e.g., notification, warning, recommendation) on the mother's physical and mental health status as well as detailed data for health professionals. The self-management in the second thrust will be improved and incentivized through the first thrust's personalized community-enhanced recommendation system, and will result in technology-enhanced community care coordination and education. Through these technical thrusts, the UNITE system will exploit ubiquitous monitoring and develop a recommendation system capable of dynamically supporting a healthy lifestyle of a mother during pregnancy. The leading design principle is that the community surrounding the individual mother enhances monitoring and interventions, enabling more personalized recommendations that motivate better self-management.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.