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U.S. Health Resources and Services Administration·United States of America

Technology-enabled Collaborative Learning Program

Closes 2/18/2026$475kGrants Notice
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Description

The Technology-enabled Collaborative Learning Program aims to support training for health care providers and other professionals who provide or assist in delivering care. The program will focus on developing instructional programming, training health care providers, and including training on best practices. The goals of the program include expanding the use of collaborative learning models, training providers and professionals, supporting the workforce, and improving access to care. Key aspects of the program will involve evaluating the impact of these models on patient outcomes and providers, identifying best practices, and collecting and studying data. • Developing instructional programming for health care providers and other professionals • Training health care providers and other professionals on best practices • Expanding the use of collaborative learning models • Supporting the workforce and improving access to care • Collecting and studying data on patient outcomes and providers • Identifying best practices for expanding and using collaborative learning models

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Melody Williams

[email protected]

(301) 287-2616

Key dates

Opened
9/23/2025
Closes
2/18/2026
Projected award
6/1/2026

Last updated

Details

Type
Grants Notice
Industry
Healthcare and Medical Services
NAICS
621110
Solicitation №
HRSA-26-053

Budget estimate

$0 – $475,000

The estimated funding for this program is $4,275,000, with an award ceiling of $475,000. This suggests that the total budget for the program will be around $4,275,000, with individual awards ranging from $0 to $475,000. The actual budget may vary depending on the number of awards and the specific funding allocations. Factors that may influence the likely payment range include the number of applicants, the quality of proposals, and the availability of funds.

AI estimate from the solicitation

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