SCH: INT: VOLI: Voice Assistant for Quality of Life and Healthcare Improvement in Aging Populations

SCH：INT：VOLI：改善老龄化人口生活质量和医疗保健的语音助手

• 批准号: 10019457
• 负责人: Emilia Farcas
• 金额: $ 29.94万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-30 至 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10019457
• 关键词: Address; Aging; Awareness; Behavioral; Censuses; Child; Clinical; Cognitive; Complex; Data Analytics; Elderly; Electronic Health Record; Expert Systems; Family Caregiver; Health; Health Personnel; Healthcare; Home environment; Hospitals; Instruction; Length of Stay; Machine Learning; Mission; Monitor; Motor; Natural Language Processing; Ontology; Patient Monitoring; Patient Self-Report; Patients; Personal Satisfaction; Pharmaceutical Preparations; Population; Quality of life; Recording of previous events; Reporting; Research; Research Personnel; Sensory; Services; Symptoms; Technology; Terminology; Time; User-Computer Interface; Voice; Weather; Work; aging population; base; care giving burden; clinical care; deep learning; design; electronic data; field study; handheld mobile device; hospice environment; human centered computing; improved; innovation; intelligent personal assistant; multiple chronic conditions; news; postoperative recovery; service providers; side effect; social; stem; ubiquitous computing

According to the latest US Census Bureau predictions, by 2035 older people are projected to outnumber children for the first time in US history. This brings significant societal challenges based on their unique living and health-related conditions stemming from reduced sensory, motor, and cognitive capabilities, as wen as multiple chronic conditions. We propose a personalized and context-aware voice-based digital assistant to improve the quality of life and the healthcare of older adults. VOLI will leverage the growing capabilities of existing technologies, such as mobile devices and smart speakers, and go well beyond the basics of weather reports, news services, and simple games, to provide more complex voice-based services and to focus on the healthcare domain with its many challenges and constraints. We will pursue three parallel research aims: 1) Our technical aim will investigate how digital assistants, natural language processing, and machine learning can produce meaningful health-related conversations by leveraging population- and patient-level data from Electronic Health Records (EHRs); 2) Our social, behavioral, and cognitive aim will focus on designing services for older adults based on their needs to support independence and investigate the acceptability of digital assistants for the aging population; and 3) Our clinical aim will investigate how digital assistants can detect new symptoms and correlate them with medication side effects and interactions, worsening of existing conditions, or onset of new illnesses. Using our VOLI voice-assistant, older adults will be able to get medication reminders and instructions based on prescriptions and clinical notes from EHRs, notify their family/caregiver about their well-being status, interact with their healthcare provider, request an Uber/Lyft car or other third-party services, engage in cognitive games, report symptoms as they occur throughout the day and over the counter medications they are taking, ask questions about symptoms and medications, and so on. VOLi integrates information from EHRs, clinical ontologies, and patient-level terminology. This work will be supported by innovations in natural language understanding, deep learning, and human-computer interfaces. Our work is guided by both clinicians and researchers in human-centered computing. Our team has a history of successful interdisciplinary work in healthcare, expert systems in clinical care, EHR integration, patient monitoring and self-report, ubiquitous computing, data analytics, and field studies.

根据最新的美国人口普查局预测，到2035年，老年人预计将超过 儿童是美国历史上第一次。这带来了基于其独特的重大社会挑战 生活与健康相关的条件降低了感官，运动和认知能力，如 WEN作为多种慢性病。我们提出了一个个性化的基于语音感知语音的数字 助手改善老年人的生活质量和医疗保健。沃利将利用增长 现有技术（例如移动设备和智能扬声器）的功能，远远超出了 天气报告，新闻服务和简单​​游戏的基础知识，以提供更复杂的基于语音 服务和专注于医疗领域的许多挑战和约束。 我们将追求三个平行的研究目的：1）我们的技术目标将调查数字助理，如何如何 自然语言处理和机器学习可以产生与健康相关的有意义的对话 通过利用电子健康记录（EHR）的人口和患者级数据； 2）我们的社会， 行为和认知目标将根据他们的需求为老年人设计服务 支持独立性并调查数字助手对老龄化人口的可接受性；和 3）我们的临床目标将调查数字助理如何检测新症状并将其关联 随着药物副作用和相互作用，现有疾病的恶化或新疾病的发作。 使用我们的Voli语音辅助，老年人将能够获得药物提醒和说明 根据EHR的处方和临床笔记，通知他们的家庭/照顾者有关他们的幸福 状态，与他们的医疗保健提供商互动，要求Uber/Lyft汽车或其他第三方服务， 参与认知游戏，报告全天和柜台上发生的症状 他们正在服用药物，询问有关症状和药物的问题，等等。 Voli整合了来自EHR，临床本体论和患者级术语的信息。这项工作将 自然语言理解，深度学习和人类计算机的创新得到支持 接口。我们的工作在以人为本的计算中的临床医生和研究人员的指导下。我们的团队 拥有成功跨学科工作的历史，临床护理专家系统，EHR 整合，患者监测和自我报告，无处不在的计算，数据分析和现场研究。