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宾夕法尼亚大学新合作机构旨在改善对老年人的护理

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  • 2022-01-19
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作者:NursingResearch护理研究前

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The Penn Artificial Intelligence and Technology Collaboratory for Healthy Aging (PennAITech) seeks to explore the use of artificial intelligence and other technologies to improve in-home care for older adults and individuals with Alzheimer’s disease. The Collaboratory will leverage extensive expertise in artificial intelligence, consumer informatics and aging, access to patient cohorts and resources of Penn’s School of Nursing, the Perelman School of Medicine, and other departments across the University of Pennsylvania. PennAITech is made possible through a grant from the National Institute on Aging (NIA), a part of the National Institutes of Health (NIH). The award is expected to total $20 million over five years.

Leading this effort will be:

George Demiris, PhD, FACMI, a Penn Integrates Knowledge Professor with joint faculty appointments in Penn Nursing’s Department of Biobehavioral Health Sciences, and the Department of Biostatistics, Epidemiology, and Informatics in Penn’s Perelman School of Medicine;

Jason Karlawish, MD, Professor of Medicine, Medical Ethics and Health Policy, and Neurology, co-director of the Penn Memory Center and Associated Director, Alzheimer’s Disease Research Center, Perelman School of Medicine; and

Jason Moore, PhD, FACMI, Professor and Chair of the Department of Computational Biomedicine, Cedars Sinai.

“Aging in place is a priority for most older Americans. This goal can be challenged by chronic illness including Alzheimer’s Disease and Related Dementias. We need innovative solutions that will help us detect risks, address disparities, support decision making and improve access to care,” said Demiris. “The overarching goal of our Collaboratory is to facilitate the development and dissemination of such tools to help aging Americans live safely, in optimal health, and remain socially engaged. To achieve this, we will develop and implement a national pilot project funding program for the development and evaluation of cutting-edge technology.”

PennAITech aims to identify, develop, evaluate, commercialize, and disseminate innovative technology and artificial intelligence (AI) methods and software to support older adults and those with Alzheimer’s Disease (AD) and Alzheimer’s Disease and Related Diseases in their home environment. It is motivated by the need for a comprehensive pipeline from technology-based monitoring of older adults in the home, collection and processing monitoring data, integration of those data with clinical data from electronic health records, analysis with cutting-edge AI methods and software, and deployment of validated AI models at point of care for decision support.

“Penn is uniquely poised to serve as a research and innovation accelerator based on our expertise in geriatric medicine, aging, Alzheimer’s disease and biomedical informatics,” said Karlawish. “We aim to advance the development of effective solutions that will be used in the real world and ultimately improve the lives of older adults’ and their caregivers.”

A central focus of the PennAITech Collaboratory is to advance this vision through the solicitation, review, and funding of pilot grants focused on technology and AI development to advance the science of care management and aging in place for vulnerable older adults or those with Alzheimer’s Disease and Alzheimer’s related diseases such as Lewy Body Disease receiving skilled home and community-based services. Funded pilot projects will be supported through cores focused on administration, stakeholder engagement, technology identification and training, clinical translation and validation, networking, and ethical and policy issues. Pilot projects will be solicited from academia, industry, and health systems.

全文翻译(仅供参考)

宾夕法尼亚大学人工智能与健康老龄化技术合作实验室 (PennAITech) 旨在探索使用人工智能和其他技术来改善老年人和阿尔茨海默病患者的家庭护理。该合作实验室将利用人工智能、消费者信息学和老龄化方面的广泛专业知识,访问宾夕法尼亚大学护理学院、佩雷尔曼医学院和宾夕法尼亚大学其他部门的患者队列和资源。PennAITech 是通过美国国立卫生研究院 (NIH) 下属国家老龄化研究所 (NIA) 的资助实现的。该奖项预计在五年内总额为 2000 万美元。

领导这项工作的将是:

George Demiris 博士,FACMI,宾夕法尼亚大学综合知识教授与宾夕法尼亚大学护理学院生物行为健康科学系和宾夕法尼亚大学佩雷尔曼医学院生物统计学、流行病学和信息学系的联合教职人员;

Jason Karlawish,医学博士,医学、医学伦理和健康政策以及神经学教授,宾夕法尼亚大学记忆中心联合主任兼佩雷尔曼医学院阿尔茨海默病研究中心副主任;和

Jason Moore 博士,FACMI,Cedars Sinai 计算生物医学系教授兼系主任。

“就地养老是大多数美国老年人的优先事项。这一目标可能会受到包括阿尔茨海默病和相关痴呆症在内的慢性疾病的挑战。我们需要创新的解决方案来帮助我们发现风险、解决差异、支持决策和改善获得护理的机会,”德米里斯说。“我们合作中心的首要目标是促进此类工具的开发和传播,以帮助老年人安全地生活、保持最佳健康状态并保持社会参与。为实现这一目标,我们将制定并实施一项用于尖端技术开发和评估的国家试点项目资助计划。”

PennAITech 旨在识别、开发、评估、商业化和传播创新技术和人工智能 (AI) 方法和软件,以支持老年人和患有阿尔茨海默病 (AD) 和阿尔茨海默病及相关疾病的家庭环境。它的动机是需要从基于技术的家中老年人监测、收集和处理监测数据、将这些数据与电子健康记录的临床数据集成、使用尖端 AI 方法和软件进行分析的综合管道,并在护理点部署经过验证的 AI 模型以提供决策支持。

“基于我们在老年医学、衰老、阿尔茨海默病和生物医学信息学方面的专业知识,宾夕法尼亚大学具备独特的优势,可以作为研究和创新加速器,”Karlawish 说。“我们的目标是推进有效解决方案的开发,这些解决方案将用于现实世界,并最终改善老年人及其护理人员的生活。”

PennAITech Collaboratory 的一个核心重点是通过征集、审查和资助专注于技术和人工智能开发的试点赠款来推进这一愿景,以推进针对弱势老年人或阿尔茨海默病患者的护理管理和老龄化科学。阿尔茨海默氏症相关疾病,例如路易体病,接受熟练的家庭和社区服务。资助的试点项目将通过专注于管理、利益相关者参与、技术识别和培训、临床翻译和验证、网络以及道德和政策问题的核心得到支持。将从学术界、工业界和卫生系统中征集试点项目。

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