RAPID: Remote Monitoring of Ebola Patients and Their Treating Physicians

RAPID：埃博拉患者及其治疗医生的远程监控

• 批准号: 1514626
• 负责人: Nikolaos Papanikolopoulos
• 金额: $ 13万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1514626&HistoricalAwards=false
• 关键词: RAPID; Remote; Monitoring; Ebola; Patients

Proposal #: 15-14626PI(s): Papanikolopoulos, Nikolaos; Lim, Kelvin O.Institution: University of Minnesota-Twin Cities (UMN)Title: RAPID: Remote Monitoring of Ebola Patients and Their Treating Physicians Project Proposed:This project, melding proven technologies, aims to assist in an immediate challenge now facing those engaged in direct patient care in the ongoing Ebola epidemic. Namely, employing interactive machine vision technologies and intelligently encoded protective gear to proactively assist health care providers (e.g., adhering to their required NIH/CDC (Center for Disease Control) Safety Procedures-the explicit movement sequences required for the proper donning of sterilized, protective coverings, and afterwards for the safe, step-wise and controlled removal and subsequent disposition of these now potentially lethal items). The crucial importance of this very high standard was underscored recently by the infection of two Dallas-area nurses where protocols were thought breached, and then by the CDC?s response, which next imposed an enhanced buddy system to better ensure future compliance. Notwithstanding, human monitors can sometimes lapse, especially when procedures become routine, as time pressures mount. Fortunately, incorporating respective lessons learned in the creation of an automated and interactive buddy is a readily achievable next step, given the advances in automated human activity and gesture recognition, with experience of the strict procedures evolved in conjunction with tele-operational assistance methods for domains such as surgery, and with modern graphical and human-friendly man-machine interfaces. Obviously, this new knowledge serves a useful purpose.Broader Impacts:The relatively low cost in the longer term should be noted. Even portable extensions to any environment can be disproportionally costly or even catastrophic, particularly when participants fail to adhere to strict standards (usually tedious and unwelcome). In industry (e.g., clean rooms, nuclear sites, etc.), in medicine (e.g., operating theaters), in the military, and in some research areas, the cost of recording and registering sessions that compel the full compliance to required safety measures might easily be offset by better outcomes, fewer accidents and reduced insurance rates. This project contributes in building a coalition of large NSF awardees to jointly address public health problems of national and global significance using the state of the art in Computer Science. The UMN team will assist in the urgent data collection regarding the effectiveness of the protective gear used in Ebola-infected regions.This research will enable the development of new quantitative crisis maps to approximate local regional rates of infectious Ebola virus spreading in near real time thereby enhancing the effective distribution of limited availability of recently developed vaccines to mitigate the spread of Ebola. Furthermore, it will provide a mechanism for validating and improving operational forecast models of the CDC by comparisons with regional social media observations. It may allow for disease surveillance and early detection among our third world countries. Moreover, this project is expected to be generalizable to other infectious virus conditions; the research enables exploiting social media health data from future hand held devices. Although enough speculation exists about the role of the gear, little data is available to push for changes in the protocols or the gear itself. Beyond the present issue of Ebola, the proposed methodology and the coalition building effort will support solutions in a wide range of public health issues.

提案＃：15-14626PI（S）：尼古拉斯的Papanikolopoulos；林（Lim），开尔文·奥（Kelvin O.Institution）：明尼苏达大学 - 双胞胎城市（UMN）标题：快速：远程监测埃博拉病人及其治疗医师项目的项目：该项目，融合了良好的技术，旨在协助目前面对正在进行的埃博拉（Ebola）直接患者护理的挑战。 Namely, employing interactive machine vision technologies and intelligently encoded protective gear to proactively assist health care providers (e.g., adhering to their required NIH/CDC (Center for Disease Control) Safety Procedures-the explicit movement sequences required for the proper donning of sterilized, protective coverings, and afterwards for the safe, step-wise and controlled removal and subsequent disposition of these now potentially lethal items).最近，两名达拉斯地区护士感染了这一非常高标准的重要性，在这些护士被认为违反了方案，然后由CDC的反应予以违反，其次是增强的好友系统，以更好地确保将来的合规性。尽管如此，人类监视器有时可能会失效，尤其是随着时间压力的越来越多的速度。幸运的是，鉴于自动化的人类活动和手势识别的进步，将各自的经验教训纳入创建自动化和互动伙伴的过程中，这是一个很容易实现的下一步，并具有与手术和现代的素质和人类友善和人类友善的人类友好的友善和人类友善的互动互动的经验，并具有严格的程序的经验。显然，这种新知识是有用的。 即使是对任何环境的便携式扩展也可能是昂贵的，甚至可能是灾难性的，尤其是当参与者无法遵守严格的标准（通常乏味和不受欢迎）时。 在工业（例如，清洁室，核场所等），在医学（例如，经营剧院），军事和某些研究领域中，记录和注册会议的成本可能会迫使完全遵守所需的安全措施的整个会议可能会很容易被更好地抵消，从而更好地抵消，更少的胜利，更少的预期和降低的保险费率。该项目为建立大型NSF获奖者的联盟做出了贡献，以使用计算机科学领域的最新技术来共同解决国家和全球意义的公共卫生问题。 UMN团队将协助紧急数据收集有关埃博拉病毒感染区域中使用的防护装备的有效性。这项研究将使新的定量危机图的开发能够在接近实时的接近实时传染性埃博拉病毒扩散的当地区域速率上，从而增强最近开发的疫苗的有效分布，从而有效地分布了埃博拉的散布。此外，它将通过与区域社交媒体观察结果进行比较来验证和改善CDC的操作预测模型的机制。这可能允许我们在我们的第三世界国家之间进行疾病监测和早期发现。此外，该项目有望推广到其他感染性病毒状况。该研究使从未来的手持设备中利用社交媒体健康数据。尽管对齿轮的作用存在足够的猜测，但很少有数据可以推动协议或齿轮本身的变化。除本期埃博拉病毒外，拟议的方法论和联盟建设努力还将支持各种公共卫生问题的解决方案。