A Demonstration to Scale Innovative Person-Centered Approaches to Falls Prevention through Clinical-Community Partnerships
Sector: Hospital • Location: United States of America
Source: Grants.gov
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 t
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | forecasted |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
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. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
