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.

提案编号：15- 14626 PI（s）：Papanikolopoulos，Nikolaos; Lim，Kelvin O.机构：明尼苏达大学双城分校（UMN）标题： RAPID：远程监控埃博拉患者及其治疗医生 项目建议：该项目融合了成熟的技术，旨在帮助那些在持续的埃博拉疫情中直接从事患者护理的人应对当前面临的挑战。也就是说，采用交互式机器视觉技术和智能编码的防护装备来主动协助医疗保健提供者（例如，遵守他们所要求的NIH/CDC（疾病控制中心）安全程序-正确穿戴消毒的保护性覆盖物所需的明确的运动顺序，然后安全、逐步和受控地移除并随后处置这些现在可能致命的物品）。最近，两名达拉斯地区的护士被认为违反了协议，然后又被疾病预防控制中心感染，这凸显了这一非常高标准的至关重要性。的回应，接下来实施了增强的伙伴系统，以更好地确保未来的合规性。尽管如此，随着时间压力的增加，人类监测器有时会失效，特别是当程序成为常规时。幸运的是，结合各自的经验教训，在创建一个自动化和互动的伙伴是一个容易实现的下一步，考虑到自动化的人类活动和手势识别的进步，与严格的程序结合发展的领域，如外科手术的远程操作援助方法的经验，并与现代图形和人性化的人机界面。更广泛的影响：应当注意到，从长期来看，成本相对较低。 即使是对任何环境的可移植扩展也可能是昂贵的，甚至是灾难性的，特别是当参与者未能遵守严格的标准时（通常是乏味和不受欢迎的）。 在工业中（例如，洁净室、核设施等），在医学中（例如，手术室），在军队和一些研究领域，记录和登记迫使完全遵守所需安全措施的会话的成本可能很容易被更好的结果、更少的事故和更低的保险费率所抵消。该项目有助于建立一个大型NSF获奖者联盟，利用计算机科学的最新技术共同解决国家和全球重要的公共卫生问题。UMN团队将协助紧急收集有关在埃博拉感染地区使用的防护装备的有效性的数据。这项研究将有助于开发新的定量危机地图，以接近真实的时间来近似当地埃博拉病毒的传染性区域传播率，从而提高最近开发的疫苗的有效分配，以减轻埃博拉病毒的传播。此外，它还将提供一种机制，通过与区域社交媒体观测结果进行比较，验证和改进CDC的业务预测模型。它可能使我们第三世界国家能够进行疾病监测和早期发现。此外，该项目预计将推广到其他传染性病毒条件;该研究可以利用未来手持设备的社交媒体健康数据。虽然对齿轮的作用有足够的猜测，但几乎没有数据可以推动协议或齿轮本身的变化。除了目前的埃博拉问题，拟议的方法和联盟建设工作将支持解决广泛的公共卫生问题。