SCH: INT: AURA - Connecting Audio and Radio Sensing Systems to lmprove Care at Home

SCH：INT：AURA - 连接音频和无线电传感系统以改善家庭护理

• 批准号: 10238083
• 负责人: Shahriar Nirjon
• 金额: $ 26.88万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-10 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10238083
• 关键词: Adverse event; Aftercare; Algorithms; Awareness; Biological Markers; Cancer Patient; Car Phone; Caregiver Burden; Caregivers; Caring; Collection; Colorectal Cancer; Data; Development; Ensure; Family Caregiver; Feedback; Fostering; Future; Goals; Health; Health Care Costs; Health Status; Healthcare Systems; Home; Hospitals; Human Activities; Internet; Link; Location; Malignant neoplasm of urinary bladder; Measures; Modeling; Monitor; Notification; Oncology; Outcome; Patients; Phase; Population; Radio; Recording of previous events; Reporting; Self Care; Self Management; Series; Signal Transduction; Social Impacts; Strategic Planning; Symptoms; System; Technology; Training; Voice; Work; base; care systems; cost; digital ecosystem; doctoral student; high risk; hospital readmission; mHealth; multidisciplinary; natural language; open data; patient population; personalized health care; response; sensor; usability; web page

An effective care transition from hospital to home is crucial to ensure optimal care for high-risk patients and to reduce the cost of avoidable readmissions that burdens the healthcare system. A common practice in technology-assisted care transition is to train and guide patients and family caregivers through the web and mobile phone-based systems for symptom reporting, vital signs monitoring, and providing feedback. Although effective, these systems have three major limitations: (a) the patient or caregiver has to actively measure and enter data into the system-which is error-prone, subjective, and often forgotten; (b) web or mobile-based interactions can be cumbersome and demanding-tasks like entering data, knowing health status, or getting and responding to an alert require typing and clicking through a series of forms/web pages; and (c) feedback from the system through messages and notifications is often ineffective and unnoticed. To overcome these limitations, this project employs a data-driven approach to develop a voice-enabled, context-aware, post-treatment self-care system in home settings. The proposed system will (a) monitor specific activities of a patient at home using advanced WiFi radio signal-based human activity recognition algorithms; (b) tailor natural language responses of voice assistants like Amazon Echo/Alexa based on the patient's location, activity, and health history; and (c) automate data-entry and reporting to reduce patient or caregiver burden. The system will be deployed in 40 colorectal and bladder cancer patients' homes for assessing usability, feasibility, and preliminary magnitude of benefits. The overarching goals of this project are aligned with the NLM's 10-year strategic plan for 2017-2027. Through automated collection, linking, curation, and modeling of voice and WiFi radio sensor data, this project will create an interconnected ecosystem of digital biomarkers that explain, influence, and predict health outcomes during care transition. By using low-cost voice assistants (less than $50) and ubiquitous home WiFi, it maximizes the dissemination and engagement of data-powered health to mass population. To foster the development of a data-ready workforce for the future, three Ph.D. students will work in this multidisciplinary project, a new mHealth course will be developed, and open science practices will be applied during the development, deployment, and dissemination phases of the project.

从医院到家庭的有效护理过渡对于确保高危患者获得最佳护理至关重要