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-猫眼课题宝

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

项目类别：

财政年份：

2023

资助国家：

美国

项目状态：

未结题

起止时间：

2023-06-15 至 2025-02-28

来源：

https://reporter.nih.gov/project-details/10696912

关键词：

Address Algorithms Alzheimer&apos s disease diagnosis Alzheimer&apos s disease related dementia Alzheimer&apos 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

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中文摘要

翻译

在650万患有阿尔茨海默病和相关痴呆症(ADRD)的美国人中，超过一半的人没有确诊，这可能会导致这些患者的护理质量较差，并对医疗保健计划的护理费用。这项小型企业创新研究(SBIR)直接第二阶段拨款将使我们能够测试、改进并将独特的算法推向市场，该算法将使用电子健康数据来支持对未确诊的ADRD患者的早期识别。

英文摘要

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.

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