SBIR Phase I: MouthLab - A Medical Tricorder Optimized for Real-time, Rapid Assessment of COVID-19 Patients And Those At Risk

该小型企业创新研究（SBIR）项目的更广泛影响/商业潜力是推动开发一种新型的快速COVID-19症状评估和实时监测工具，用于个人以及感染患者及其护理提供者。检测所有早期/进行性COVID-19症状的能力对于限制疾病的快速传播和减少对医疗设施、医疗用品和一线人员的巨大需求是非常宝贵的。目前，COVID-19的临床护理仅限于医院和传统医疗机构。不幸的是，医生仍然使用温度或主观症状数据作为感染/疾病状态的唯一预测因素。该项目将展示一种手持式设备，可在短短30秒内测量10多个与COVID-19相关的重要健康参数，以及一个基于云的分诊平台，该平台利用人工智能和机器学习算法为感染COVID-19或易受其威胁生命的并发症的人创建独特的远程监控解决方案。SBIR第一阶段项目旨在为COVID-19的远程检测和管理定制设备和平台。 该项目将推进远程使用设备设计的开发，并修改通信协议，使该平台即使在蜂窝网络连接较低的地区也能可靠地运行。其次，该项目将设计一个用户界面，通过针对特定参数（例如，呼吸率、SpO 2、肺活量测定、温度）优化的加权系统，包括一个健康状态指示器。这将使普通用户能够根据基础数据和分析来了解他们的健康/疾病趋势。拟议的项目旨在构建安全的API，与现有的EMR集成，为卫生系统和联邦机构提供数据。最后，该项目将为供应商和军医开发一个综合的COVID-19监测/分诊仪表板，以接收跨人群和地理位置的实时生物特征数据，以确保及时干预和治疗修改。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project is to advance the development of a novel, rapid COVID-19 symptoms assessment and real-time monitoring tool for individuals as well as infected patients and their care providers. The ability to detect all the early/progressive COVID-19 symptoms are invaluable to limit the rapid spread of disease and reduce the overwhelming demand for healthcare facilities, medical supplies, and front-line personnel. Currently, clinical care for COVID-19 is limited to hospitals and traditional healthcare facilities. Unfortunately, physicians still use temperature or subjective symptom data as the sole predictor of infection/disease status. This project will demonstrate a hand-held device to measure 10+ vital health parameters relevant to COVID-19 in just 30 seconds, and a cloud-based triage platform that leverages AI and machine learning algorithms to create a unique remote-monitoring solution for people who are infected or susceptible to life-threatening complications due to COVID-19. This SBIR Phase I project proposes to customize a device and platform for remote detection and management of COVID-19. This project will advance the development of a device design for remote use and modify the communication protocol to allow the platform to function reliably, even in areas with low cellular network connectivity. Secondly, the project will design a user interface to include a health status indicator via a weighting system optimized for specific parameters (e.g. breathing rate, SpO2, spirometry, temperature). This will enable even general users to understand their health/disease trends based on underlying data and analytics. The proposed project aims to build secure APIs for integrating with existing EMRs to provide data to health systems and federal agencies. Finally, the project will develop an integrated COVID-19 surveillance/triage dashboard for providers and military medics to receive real-time biometric data across populations and geographies to ensure timely intervention and treatment modification.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.