Examining the Impact of Artificial Intelligence (AI) on Healthcare Safety (R18)

The purpose of this NOFO is to invite grant applications that support healthcare safety by determining (1) whether and how certain breakthrough uses of Artificial Intelligence (AI) systems can affect patient safety; and (2) how AI systems can be safely implemented and used.

AI has the potential


to improve the safety, effectiveness, efficiency, accessibility, and affordability of healthcare.

However, as with most technologies, this potential must be balanced by identifying and mitigating potential risks for patient harm and user burden.
Related Programs

Research on Healthcare Costs, Quality and Outcomes

Department of Health and Human Services



Relevant Nonprofit Program Categories





Obtain Full Opportunity Text:
https://grants.nih.gov/grants/guide/pa-files/PA-24-261.html

Additional Information of Eligibility:
Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U. S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply.

Non-domestic (non-U.S.) components of U. S. Organizations are not eligible to apply.

Full Opportunity Web Address:
http://grants.nih.gov/grants/guide/pa-files/PA-24-261.html

Contact:


Agency Email Description:
Grant_Queries@ahrq.hhs.gov

Agency Email:


Date Posted:
2024-07-16

Application Due Date:


Archive Date:
2027-06-30


Australia’s Melbourne City Mission Chief Executive Officer Ric Holland writes how philanthropy can act as an enabler on many levels.






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Edited by: Michael Saunders

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