A Demonstration to Scale Innovative Person-Centered Approaches to Falls Prevention through Clinical-Community Partnerships
Contract Overview
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AI Contract Overview
The contract is a cooperative agreement awarded by the Administration for Community Living under the Department of Health and Human Services, aimed at scaling person-centered and evidence-based falls prevention interventions. Over a three-year project period, the selected grantee will conduct up to three demonstrations that leverage clinical-community partnerships, data, and technology tools to enhance falls prevention and chronic disease management within community care hubs and aging services networks. The initiative will build upon the ACL Innovation Lab framework and focus on integrating advanced approaches such as artificial intelligence, data analytics, assistive technology, and virtual intervention delivery to support effective care transitions and falls risk screening. The grantee will be responsible for collaborating closely with the ACL in the design and implementation of these projects, facilitating rapid cycle evaluations to iteratively improve outcomes during the scaling process. In addition, the awarded organization must have the capacity to manage sub-awards to community care hubs capable of implementing these innovative interventions. This includes establishing supportive data infrastructure and tools to encourage consumer engagement and behavior change. The contact point for this opportunity is William Bleser, and further information is accessible through the provided grants portal link.
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Full Description
The purpose of this funding announcement is to demonstrate and evaluate the scalability of person-centered and evidence-based approaches to falls prevention that leverage clinical and community partnerships and related data and technology tools. ACL intends to award a single cooperative agreement to one grantee for a three-year project period with the expectation that the grantee will fund up to three demonstrations. This award will build on the ACL Innovation Lab to demonstrate the scaling of person-centered and evidence-based approaches to falls prevention and related chronic disease management programs through community care hubs and their respective clinical partners and community-based organizations in the aging services network. The successful applicant will be expected to collaborate with ACL in the design and implementation of these demonstrations in the scalability of falls prevention and related chronic disease management interventions through approximately three advanced community care hubs that support care transitions and screening for the risk of falls. They should also have the capacity to 1) do rapid cycle evaluation to iterate and improve the impact of the interventions as they are scaled and, 2) administer sub-awards to community care hubs that can implement and scale person-centered interventions enabled by artificial intelligence, data analytics, assistive technology, virtual delivery of interventions, tools to support consumer behaviors, and related data infrastructure.
