Clinical Translation and Validation Core

临床转化和验证核心

基本信息

批准号：
10685541
负责人：
JASON H KARLAWISH
金额：
$ 14.9万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-30 至 2026-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10685541
关键词：
Address Adopted Adoption Adult Aging Alzheimer&apos s Disease Alzheimer&apos s Disease Core Center Alzheimer&apos s disease related dementia Area Artificial Intelligence Belief Biological Markers Board Certification Caring Civil Rights Clinical Collaborations Communities Computer software Data Databases Decision Making Detection Development Diagnostic Elderly Electronic Health Record Engineering Epidemiology Ethics Evaluation Family Feedback Geriatrics Gerontology Goals Grant Health Health Policy Healthcare Healthcare Systems Home Impaired cognition Leadership Medical Ethics Medical Informatics Medicine Memory Mentors Modeling Monitor Neurology Nursing Informatics Outcome Persons Philadelphia Pilot Projects Predictive Analytics Prevention Quality of life Research Research Personnel Resources Role Rural Rural Population Safety Science Site Specialist Syndrome Technology Training Training Support Underserved Population Validation Voting Right Work artificial intelligence method biomedical informatics clinical care clinical decision support clinical translation collaboratory dementia care design digital experience functional disability healthy aging improved innovation instrumental activity of daily living interest machine learning model new technology open source patient home care predict clinical outcome predictive modeling prevent professor searchable database smart home social stigma socioeconomics software development synergism tool wearable device

项目摘要

The goal of the Clinical Translation and Validation Core is to use the science and practice of geriatrics and gerontology to assess the feasibility and clinical utility of artificial intelligence (AI) methods for clinical decision support and of new technology for monitoring aging adults in their home. Recognizing that geriatric syndromes and functional and cognitive impairment are the most important predictors of health outcomes and quality of life in older adults, and that current clinical approaches to identifying and preventing these conditions are reactive, this core's efforts are rooted in the belief that AI and home monitoring hold tremendous promise for disrupting the clinical paradigm and revolutionizing the detection, monitoring, and care of older adults and those with AD/ADRD. The core leadership will use their collective expertise in AD/ADRD, geriatrics, gerontology, and AI to work closely with the other PennAITech Collaboratory Cores to support training, stakeholder engagement, and pilot projects that promote the feasibility and utility of AI methods for decision support and new technology in the home. Together, this team will accomplish the following aims: (1) establish an expert panel to assess the feasibility and clinical value of new artificial intelligence models for predictive analytics and clinical decision support and of new technologies designed to monitor aging adults and those with AD/ADRD; (2) collaborate with the Technology Identification and Training Core and the Networking and Mentoring Core to build and make available a searchable database of new artificial intelligence software and home monitoring technology for the purpose of making connections with those interested in collaborating, evaluating, or adopting such tools; (3) establish a national resource for the evaluation and deployment of artificial intelligence models for predictive analytics and clinical decision support; and (4) partner with the Stakeholder Engagement Core to establish a network of sites and settings which can serve as a testbed for new technologies designed to monitor aging adults and those with AD/ADRD with an emphasis on underserved and rural populations.

临床转化和验证核心的目标是利用老年医学的科学和实践，老年学评估人工智能（AI）方法用于临床决策的可行性和临床效用支持并采用新技术来监测家中的老年人。认识到老年综合症功能和认知障碍是健康结果和生活质量最重要的预测因素在老年人中，目前识别和预防这些疾病的临床方法是反应性的，该核心的努力植根于这样的信念：人工智能和家庭监控在颠覆性方面具有巨大的前景临床范例并彻底改变老年人和患有此类疾病的人的检测、监测和护理 AD/ADRD。核心领导层将利用他们在 AD/ADRD、老年病学、老年学和人工智能方面的集体专业知识，与其他 PennAITech 合作核心密切合作，支持培训、利益相关者参与和试点项目旨在促进人工智能方法在决策支持和新技术方面的可行性和实用性家。该团队将共同实现以下目标：（1）建立专家小组来评估用于预测分析和临床决策的新人工智能模型的可行性和临床价值支持和旨在监测老年人和 AD/ADRD 患者的新技术； (2) 与合作技术识别和培训核心以及网络和指导核心的构建和制作提供新的人工智能软件和家庭监控技术的可搜索数据库与那些有兴趣合作、评估或采用此类工具的人建立联系的目的； (3) 建立用于评估和部署预测性人工智能模型的国家资源分析和临床决策支持； (4) 与利益相关者参与核心合作建立一个站点和环境网络可以作为旨在监测老年人的新技术的试验台以及那些患有 AD/ADRD 的人，重点关注服务不足的人口和农村人口。