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

 
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    CFDA#

    93.226
     

    Funder Type

    Federal Government

    IT Classification

    B - Readily funds technology as part of an award

    Authority

    Agency for Healthcare Research and Quality (AHRQ)

    Summary

    The purpose of this opportunity 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

     

    History of Funding

    None available.

    Additional Information

    Examples of applied research projects responsive to this NOFO include but are not limited to those described below. Mixed methods research projects are encouraged where applicable.

    • Research to demonstrate the clinician time saved through implementation of AI systems to reduce documentation or inbox burdens
    • Research to determine if AI systems to reduce documentation or inbox burdens create new patient safety issues and, if so, how might they be mitigated or eliminated
    • Research to determine how best to integrate AI systems that alleviate clinician burden into clinician workflows
    • Research to determine how to safely implement and use an LLM- based system, which has been shown to expedite accurate responses to patient or clinician queries
    • Research to determine how best to ensure the usability of AI systems that address patient safety challenges
    • Research to develop an evaluation tool or approach to assess the safe implementation of AI systems
    • Research to determine how best to integrate AI systems into clinician workflows to maximize their effect on enhancing patient safety and identifying and mitigating patient safety hazards.
    • Research to determine how to enhance clinician-AI teaming to improve patient safety
    • Research to determine how AI can be implemented to mitigate and not exacerbate inequities in care, particularly in the area of patient safety

     

    All projects must:

    • Describe the healthcare practice setting(s) for the research: outpatient, inpatient, emergency department, ambulatory surgery center, post-acute care settings, home, etc.;
    • Describe the patient population(s) impacted by the research;
    • Describe how the research considers the guidance released by the U.S. Department of Commerce's National Institute of Standards and Technology (NIST) in its Artificial Intelligence Risk Management Framework
    • Describe how AI hazards, harms, benefits, and process improvements will be identified, harms prevented or mitigated, and processes implemented and/or improved;
    • Evaluate and report (as applicable):
    • Improvement in the safety and effectiveness of care and reduction in adverse events;
    • Improvement in patient and/or clinician experience;
    • Reduction in provider burden; and
    • Unintended adverse clinician impact or patient safety events and mitigating actions taken.


    Contacts

    Brian Campbell

    Brian Campbell
    Office of Management Services
    200 Independence Avenue, SW
    Washington, DC 20201
    (301) 427-1266
     

  • Eligibility Details

    Eligible Applicants

    • City or township governments
    • Native American tribal governments (Federally recognized)
    • For profit organizations other than small businesses
    • Private institutions of higher education
    • Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
    • Public and State controlled institutions of higher education
    • County governments
    • Native American tribal organizations (other than Federally recognized tribal governments)
    • State governments
    • Public housing authorities/Indian housing authorities
    • Small businesses
    • Others (see text field entitled "Additional Information on Eligibility" for clarification)
    • Special district governments
    • Independent school districts
    • Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education

    Deadline Details

    The first application submission date is September 25, 2024 by 5:00PM local time of the applicant organization. Additional submission dates include:

    January 25, May 25, and September 25 annually. This opportunity expires on May 26, 2027.


    The next application due date is: May 25, 2026

    Award Details

    There is no cost share or match requirement associated with this opportunity. The total costs (direct and indirect costs) awarded to a grant under this NOFO will not exceed $500,000 in any given year and $1 million for the entire project period. An application with a budget that exceeds $500,000 total costs in any given year will not be reviewed. The project period may not exceed 2 years.


    Pre-award costs are allowable

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