PC3: Collaborative Research: Foundation for Trusted and Scalable Mobile Healthcare

PC3：协作研究：可信且可扩展的移动医疗保健的基础

• 批准号: 1143548
• 负责人: David Kotz
• 金额: $ 15万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1143548&HistoricalAwards=false
• 关键词: PC3; Collaborative; Research; Foundation; Trusted

This award provides funding for a collaborative project between Dartmouth College, Rice University and the Indian Institute of Technology in New Delhi. Soon, technology for mobile health (mHealth) will enable individuals to wear one or more sensing devices to better monitor their health conditions, or enable rural health workers to make periodic visits to villages that may not have access to routine healthcare services. The investigators in this project are developing the scientific foundations for a modular kit of mHealth components -- portable, inexpensive, and usable by patients or healthcare workers with limited training -- that can be assembled into a variety of combinations for different circumstances or healthcare purposes. Scientifically, they are addressing two fundamental questions: (1) how to construct secure, self-aware sensors that can attest to the provenance of the sensor data and its context; (2) how to design a system for computational triage that can provide real-time on-site feedback to the patient, avoiding the need for every patient visit, every data point, to be examined by skilled health professionals. The intellectual merit of this project is in (1) developing a new breed of portable medical sensors with the intelligence to identify and securely attest to the origin and quality of the data, and (2) developing computational triage algorithms that guide individual subjects to a medical facility when tests reveal a high chance of potential health problems. The research should result in broader impacts including (1) technology that could radically improve preventive health, (2) students trained on healthcare technologies in a wider global context, and (3) technologies that will have applications beyond healthcare, such as in critical infrastructure monitoring. This project is part of the Pervasive Communications and Computing Collaboration (PC3) initiative.

该奖项为达特茅斯学院，莱斯大学和新德里印度理工学院之间的合作项目提供了资金。 很快，移动卫生技术（MHealth）将使个人能够佩戴一种或多种感应设备以更好地监控其健康状况，或者使农村卫生工作者能够定期访问可能无法获得常规医疗服务的村庄。该项目的研究人员正在开发用于MHealth组件的模块化套件的科学基础 - 便携式，廉价且由有限培训的患者或医护人员可用 - 可以在不同情况下或医疗保健目的将其组装成各种组合。从科学上讲，他们正在解决两个基本问题：（1）如何构建可以证明传感器数据及其背景的安全，自我意识的传感器； （2）如何设计一个用于计算分类系统的系统，该系统可以为患者提供实时的现场反馈，避免了每次患者访问，每个数据点的需求，都需要由熟练的健康专业人员检查。该项目的智力优点在（1）开发一种具有智能的新型便携式医疗传感器，以识别并安全地证明数据的起源和质量，以及（2）开发计算分类算法，这些算法在测试显示出很大的潜在健康问题的可能性时，可以指导个人受试者对医疗设施进行指导。这项研究应产生更广泛的影响，包括（1）可以从根本上改善预防性健康的技术，（2）在更广泛的全球环境中接受医疗保健技术培训的学生，以及（3）将在医疗保健以外的应用程序，例如在关键基础设施监测中进行应用。 该项目是普遍通信与计算协作（PC3）计划的一部分。