The Practical, Robust Implementation and Sustainability (PRISM)-capabilities model for use of Artificial Intelligence in community-engaged implementation science research

作者：Nabila El‐Bassel, James David, Trena I. Mukherjee, Maneesha Aggarwal, Elwin Wu, Louisa Gilbert, Scott T. Walters, Redonna Chandler, Timothy Hunt, Victoria Frye, Aimee Campbell, Dawn Goddard‐Eckrich, Katherine M. Keyes, Shoshana N. Benjamin, Raymond R. Balise, Smaranda Muresan, Eric Aragundi, Marc Chen, Parixit Davé, David W. Lounsbury, Nasim S. Sabounchi, Dan Feaster, Terry T.‐K. Huang, Tian Zheng · 发表于：Implementation Science · 年份：2025 · DOI：10.1186/s13012-025-01447-2 · 被引用次数：4 · 研究领域：Health Policy Implementation Science、Artificial Intelligence in Healthcare and Education、Ethics in Clinical Research

BACKGROUND: Community-engaged research (CER) leverages knowledge, insights, and expertise of researchers and communities to address complex public health challenges and improve community well-being. CER fosters collaboration throughout all research phases, from problem identification and implementation to evaluation. Artificial Intelligence (AI) could enhance the collaborative process by improving data collection, analysis, insight, and engagement, while preserving research ethics. By integrating AI into CER, researchers could enhance their capacity to work collaboratively with communities, making research more efficient, inclusive, and impactful. However, careful consideration must be given to the ethical and social implications of AI to ensure that it supports the goals of CER. This paper introduces the PRISM-Capabilities model for AI to promote a human-centered approach that emphasizes collaboration, transparency, and inclusivity when using AI within CER. METHODS: The PRISM-Capabilities model for AI includes six components to ensure that ethical concerns are addressed, trust and transparency are maintained, and communities are equipped to use and understand AI technology. This conceptual model is specifically tailored for community-engaged implementation science research, facilitating close collaboration between researchers and community partners to guide the use of AI throughout. This paper also proposes next steps to validate the model using the HEALing Communities Study...