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Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) - Request for Proposals

Request for Proposals Application Due Dates

​​​Letter of Intent due: June 30, 2023
Full Application due: October 13, 2023

Request for Proposals Full Text v2

Virtual Information Sessions

​​​May 22, 2023, Recording Link
August 22, 2023, 9 a.m. to 10 a.m. Pacific time

Request for Proposals Application Summary

There is tremendous enthusiasm about the use of Artificial Intelligence and Machine Learning (AI/ML) in healthcare and, yet, robust evidence that AI/ML algorithms improve health outcomes remains limited. While many reports detail promising performance of healthcare AI/ML algorithms in silico, there is still a critical evidence gap in demonstrating that the bedside use of such tools is actionable and effective in real-world clinical settings. Without high-quality studies evaluating the outcomes of AI/ML tools implemented for diagnostic decision-making, there is potential for poor execution, unsustainable implementation, or unfounded expectations of AI/ML tools in practice. On the other hand, rigorously designed AI/ML effectiveness studies can highlight key opportunities and best practices that produce equitable, safe, and sustainable strategies for AI/ML in healthcare.

With support from the Gordon and Betty Moore Foundation, the Kaiser Permanente Division of Research (KP-DOR) Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) is pleased to announce a Request For Proposals (RFP) in 2023 to support research that evaluates the implementation of existing Artificial Intelligence/Machine Learning algorithms that enhance diagnostic decision-making to achieve the following objective:

To advance research methods, identify best practices for scalability, and build capacity for effectively implementing and rigorously evaluating the use of AI/ML algorithms for diagnostic decision-making in real-world settings.

This AIM-HI RFP is designed to provide 2 years of funding for 3 to 5 proposals of prospective AI/ML implementation-effectiveness studies in U.S. health systems with a total budget of up to $750,000 for each project. KP-DOR will serve as the Coordinating Center for this portfolio over the 2-year funding period working under the guidance of a National Advisory Committee on selecting funded proposals, assessing project progress, leading domain working groups, and disseminating best practices to build the capacity for effective AI/ML implementation in healthcare.

To promote diversity in health system representation, smaller health care systems are strongly encouraged to submit Letters of Intent for consideration. Additionally, larger health care systems or academic medical centers are strongly encouraged to partner with community health care systems to demonstrate the generalizability of AI/ML implementation. The AIM-HI Program seeks to achieve a balanced funding portfolio that reflects current real-world AI/ML capabilities in US healthcare across diverse settings and systems.

Interested research groups can submit a 3-page Letter of Intent (LOI) due on June 30, 2023. Drawn from the LOI proposals, 10 to 12 applicant teams will be invited to submit a 12-page full application due on October 13, 2023.


Health Care Systems based in the United States are eligible to apply.
Due to conflicts of interest, Kaiser Permanente Institutions are not eligible to apply.

Review Process

There will be a 2-stage review process (Stage 1: Letter of Intent, Stage 2: Full Application). To be considered for funding, interested applicants must submit a Letter of Intent and other requested materials (see Request For Proposals Full Text v2). After the LOI review stage, only project teams considered for funding will be invited to submit a Full Application.

At any point during the application process, the Coordinating Center may request applicants to provide supplemental information and/or respond to questions about submitted materials. A 30-minute presentation will be requested of applicants during the final stage of review.

Contact Us: Questions about the initiative or the RFP can be directed to

Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI)

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