Clinical Translation and Validation Core

临床转化和验证核心

• 批准号: 10274451
• 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
• 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/10274451
• 关键词: Address; Adopted; Adoption; Adult; Aging; Alzheimer' s Disease; Alzheimer' s Disease Core Center; Alzheimer' s disease related dementia; Area; Artificial Intelligence; Belief; Biological Markers; Caring; Civil Rights; Clinical; Clinical Research; Collaborations; Communities; Computer software; Data; Data Analyses; 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; Machine Learning; Medical Ethics; Medical Informatics; Medicine; Memory; Mentors; Methods; Modeling; Monitor; Neurology; Nursing Informatics; Outcome; Persons; Philadelphia; Pilot Projects; Plant Roots; 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; base; biomedical informatics; clinical care; clinical decision support; clinical translation; collaboratory; design; digital; experience; functional disability; healthy aging; improved; innovation; instrumental activity of daily living; interest; new technology; open source; predict clinical outcome; predictive modeling; prevent; professor; ranpirnase; searchable database; smart home; social stigma; socioeconomics; software development; synergism; tool; wearable device

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.

临床翻译和验证核心的目的是使用老年医学的科学和实践 评估人工智能（AI）方法的可行性和临床实用性的老年病理学用于临床决策 支持和新技术，用于监测他们家中老化的成年人。认识到老年综合征 功能和认知障碍是健康结果和生活质量的最重要的预测指标 在老年人中，当前识别和预防这些疾病的临床方法是反应性的， 该核心的努力源于这样的信念，即AI和家庭监控具有破坏的巨大希望 临床范式并彻底改变了老年人的检测，监测和照顾 广告/adrd。核心领导将在AD/ADRD，老年医学，老年学和AI中使用其集体专业知识 与其他Pennaitech合作核心紧密合作，以支持培训，利益相关者参与和 试点项目促进了AI方法在决策支持和新技术中的可行性和实用性 家。该团队将共同实现以下目的：（1）建立一个专家小组来评估 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 支持和新技术，旨在监测成年人的老龄化和AD/ADRD的技术； （2）与 技术识别和培训核心以及网络和指导核心，以建立和制造 可为新的人工智能软件和家庭监控技术提供可搜索的数据库 与有兴趣合作，评估或采用此类工具的人建立联系的目的； （3）建立一个国家资源，用于评估和部署人工智能模型以进行预测 分析和临床决策支持； （4）与利益相关者互动核心合作以建立 网站和设置网络，可以用作旨在监视老化成年人的新技术的测试台 以及那些有广告/阿德德（Adrd）的人，重点是服务不足和乡村人口。