Request for Applications
AI in Medical Education: A Grants Program to Advance Innovation in Medical Education
Letter
of Intent Due: February 3, 2025
Artificial intelligence (AI) is a rapidly evolving, broadly
disruptive force that can and should be harnessed to optimize health and health
care for everyone. This requires health professions leaders and educators
to embrace AI now, integrating it into the education and training of future
health care professionals and preparing them to provide patient-centered care
in the 21st century.
As a follow-up to its recent
conference on AI in Medical Education, the Josiah Macy Jr. Foundation is
pleased to announce a special initiative to fund demonstration projects that explore
the potential uses and applications of AI to improve the implementation,
outcomes, and experiences of faculty and learners in medical education. The
goal is to advance our understanding of what responsible, effective, and
ethical use of AI in medical education will look like in the immediate future.
This proposal is intended to support demonstration projects on the utilization
of AI to improve the process of education for learners across the continuum, as
well as the development of innovative curricula helping learners utilize AI
effectively and responsibly in their clinical practice.
AI in Medical Education: A
Grants Program to Advance Innovation in Medical Education will
provide support for three demonstration projects, each supported at up to $100K/year
for two years, inclusive of indirect costs capped at 10%. Proposals selected
for support through this initiative will describe, implement, and evaluate
innovative strategies to integrate AI into medical education and prepare current
and future physicians on the ethical utilization of AI to improve patient care.
Examples of demonstration
projects supported via this initiative could include but are in no way limited
to:
- Curriculum to
build data literacy and critical thinking about AI algorithms and their
outputs, including the recognition of and mitigation of AI biases in
patient care
- Developing an oversight structure
to ensure inclusion, equity, and ethical use of AI in medical education
- Efforts to better understand the
competencies associated with being an effective clinician with AI serving
as a “co-pilot”
- Role of AI in competency-based
assessment and learning outcomes
- Utilization of AI
in selection into medical school and GME training programs
- Utilization of AI
for coaching and feedback of learners
- Development
of AI systems to improve patient communication and shared decision-making
skills.
- Initiatives to
support faculty development in their role teaching learners to use AI in
clinical care
How to Apply:
- The application portal will open on Thursday, November
21, 2024
- An informational webinar will be held on Tuesday,
December 10, 2024 at 1:00pm ET. Please use this link to register
- Letters of intent will be due on Monday, February
3, 2025 by 5:00pm ET (NOTE: this is not a limited
opportunity – more than one letter of intent from a single institution is
allowed)
- Those selected to provide a full board grant
application will be notified on Monday, March 3, 2025
- Full board grant proposals will be due on
Wednesday, April 23, 2025
- Three projects will be selected to
receive up to $100K annually over a two-year project period from June 15, 2025
– June 14, 2027
Selection Criteria:
Grant
applications will be evaluated based on:
- Direct application to the experience of medical learners
- Evidence of organizational facilities, resources
(intellectual, material), and environment available to achieve the aims/goals
of the project. This includes support of the IRB to use student information in
a secure LLM instance if possible, as well as appropriate IT infrastructure.
- For programs that will require the use of a
secure AI system, a letter of support from institutional IT ensuring a HIPAA
and FERPA-compliant language model
- Feasible scope of the project given resources,
timeline, and deliverables
- Innovation
- Sustainability
after the period of project support ends, including evidence of institutional
commitment such as matching support
- Strong
evidence of replicability, generalizability, and scalability
Priority
will be given to those projects which meet the following criteria
- Demonstrated link to improved educational
outcomes
- Demonstrated link to improved clinical practice
and patient outcomes
- Relationship to one or more of the three Macy priority areas
- Multi-institutional
- Co-created
with the participation of learners