Examining the Impact of Artificial Intelligence (AI) on Healthcare Safety (R18)
This grant seeks research proposals to study how AI affects patient safety in healthcare and how to safely implement AI systems.
This grant is no longer accepting proposals
Agency for Health Care Research and Quality has archived this opportunity.
Funder: Agency for Health Care Research and Quality
Due Dates: September 25, 2024 (first application due) | March 25, 2026 (final application deadline)
Funding Amounts: Up to $500,000 total costs per year; maximum $1,000,000 total costs over up to 2 years per project.
Summary: Supports research to assess the impact of AI systems on patient safety and the safe implementation of AI in healthcare settings.
Key Information: Applications must focus on evaluating AI in real healthcare settings, not on developing new AI systems.
Description
This funding opportunity from the Agency for Health Care Research and Quality (AHRQ) seeks to support research that examines the impact of artificial intelligence (AI) systems on healthcare safety. The program aims to determine whether and how breakthrough uses of AI can affect patient safety and to develop evidence-based strategies for the safe implementation and use of AI in real-world healthcare environments. The initiative is not intended for the development of new AI systems; rather, it focuses on evaluating the real-world effects—both positive and negative—of existing AI deployments and their integration into healthcare delivery.
Priority areas include:
- Assessing whether innovative or breakthrough AI applications improve patient safety or introduce new risks.
- Examining safe implementation, integration, and ongoing use of AI systems that have already demonstrated efficacy in healthcare.
- Addressing workflow integration, usability, human-computer teaming, and governance for monitoring AI safety post-implementation.
- Considering the impact of AI on healthcare equity, clinician burden, and patient outcomes.
All projects must describe the healthcare settings, impacted patient populations, and how the research aligns with the NIST AI Risk Management Framework. Projects should evaluate both intended benefits and unintended consequences of AI in healthcare.
