A Novel Algorithm to Identify People with Undiagnosed Alzheimer's Disease and Related Dementias

一种识别未确诊阿尔茨海默病和相关痴呆症患者的新算法

• 批准号: 10696912
• 负责人: Deborah E. Barnes
• 金额: $ 153.55万
• 依托单位: TOGETHER SENIOR HEALTH, INC.
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10696912
• 关键词: Address; Algorithms; Alzheimer' s disease diagnosis; Alzheimer' s disease related dementia; Alzheimer' s disease risk; American; Appointment; Area Under Curve; Automobile Driving; Businesses; Caregiver support; Caring; Chronic; Client; Data; Data Set; Data Sources; Dementia; Detection; Diagnosis; Disease; Early identification; Electronic Health Record; Emergency department visit; Ethnic Population; Face; Future; Goals; Grant; Health; Health Care Costs; Health Insurance; Health Policy; Health Services Accessibility; Healthcare; Healthcare Systems; Home Health Agency; Hospitalization; Impaired cognition; Learning; Machine Learning; Managed Care; Marketing; Medicare; Medicare claim; Memory Loss; Methods; Mission; Modeling; Movement; Output; Patient Care; Patient risk; Patients; Persons; Phase; Predictive Value; Preparation; Principal Investigator; Process; Provider; Publishing; Quality of Care; Quality of life; Research Technics; Risk; Risk Behaviors; Risk Factors; Sampling; Services; Small Business Innovation Research Grant; Specificity; Techniques; Testing; Time; Update; Work; absorption; brain health; care costs; cohort; commercialization; comorbidity; cost; data streams; dementia care; dementia risk; design; eHealth; electronic health data; evidence base; flexibility; follow-up; health plan; high risk; human centered design; improved; insurance claims; interest; member; mind/body; modifiable risk; novel; patient stratification; prediction algorithm; primary care patient; prognostic algorithm; programs; prototype; racial population; response; risk sharing; risk stratification; tool

More than half of the 6.5 million Americans living with Alzheimer’s disease and related dementias (ADRD) do not have a diagnosis, which can lead to poor quality care for these patients and inadequate reimbursement for costs of care for health plans. This Small Business Innovation Research (SBIR) Direct Phase II grant will enable us to test, refine, and bring to market a unique algorithm that will use electronic health data to support earlier identification of people living with undiagnosed ADRD.

650 万患有阿尔茨海默氏病和相关痴呆症 (ADRD) 的美国人中，超过一半的人患有阿尔茨海默病和相关痴呆症 (ADRD) 没有诊断，这可能导致这些患者的护理质量差，并且报销不足 这项小型企业创新研究 (SBIR) 直接第二阶段补助金将用于支付医疗保健计划的护理费用。 使我们能够测试、完善并将其推向市场的独特算法，该算法将使用电子健康数据来支持 及早识别患有未确诊 ADRD 的人。