DIGITAL HEALTH SOLUTIONS FOR COVID-19

针对 COVID-19 的数字健康解决方案

• 批准号: 10329862
• 负责人: ROBERT WALTON
• 金额: $ 271.16万
• 依托单位: SHEE ATIKA ENTERPRISES, LLC
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-14 至 2021-09-13
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10329862
• 关键词: Alaska Native; American Indians; Bluetooth; COVID-19; COVID-19 diagnosis; COVID-19 diagnostic; COVID-19 prognostic; Categories; Cellular Phone; Data; Data Collection; Enrollment; Goals; Individual; Monitor; Oxygen; Participant; Physiologic pulse; Prevention; Resources; Secure; Surveys; Symptoms; Temperature; Testing; Thermometers; Underserved Population; United States National Institutes of Health; base; data hub; design; digital health; human subject

The goal of this project is to develop a smartphone-based platform to monitor and support individuals with COVID-19 symptoms (who may need testing) and those who have already tested positive. The app will integrate a Bluetooth-enabled thermometer and pulse oximeter into an approach uniquely designed for low-resource settings and underserved populations. This project will focus on the American Indian/Alaskan Native (AI/AN) underserved population and will determine the feasibility of the digital health solution to collect symptom survey data and vital data including temperature, pulse, and oxygen saturation level. The project will enroll 50 participants divided into three categories: (1) prevention; (2) COVID-19 diagnosed; and (3) rehab. The project will be evaluated based on the quality of the data collected, as indicated by acceptable data ranges for human subjects, consistency of data collection, and accuracy of data recording. Data collected under this project will be deidentified and securely transmitted to an NIH data hub.

该项目的目标是开发一个基于智能手机的平台，以监测和支持有新冠肺炎症状的个人(可能需要检测)和那些已经检测呈阳性的人。该应用程序将把支持蓝牙的温度计和脉搏血氧计整合到一种专为低资源环境和服务不足人群设计的方法中。该项目将重点关注服务不足的美洲印第安人/阿拉斯加原住民(AI/AN)，并将确定数字健康解决方案的可行性，以收集症状调查数据和包括体温、脉搏和血氧饱和度在内的重要数据。该项目将招募50名参与者，分为三个类别：(1)预防；(2)诊断为新冠肺炎；(3)康复。将根据收集的数据的质量对该项目进行评估，如人体受试者可接受的数据范围、数据收集的一致性和数据记录的准确性。根据该项目收集的数据将被识别并安全地传输到国家卫生研究院的数据中心。