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CNTR received a one-year $200,000 grant from the Gates Foundation to support the development of a custom large language model (LLM), trained for the generation of adaptive clinical decision guidance.
Project PI Lacey LaGrone, MD, MPH, MA, said the goal of the LLM is to accelerate the movement of research-generated evidence into clinical practice--from an average of 17 years to mere months--and to democratize the development and dissemination of peer-reviewed clinical guidance.
Clinicians, evidence synthesis experts, and clinical informaticists will collaborate with AI regulatory and ethics experts on this project. They''ll supervise the development of a process whereby content generators and arbiters of quality partner with genAI model developers to accelerate their respective tasks. This process will enable the development of more complex outputs, faster.
Titled "Evidence to Practice: Bridging the Gap for All of Us," the project is an outgrowth of Dr. LaGrone's Design for Implementation: the Future of Trauma Clinical Guidance conference series.
CNTR will provide project management throughout the period of performance.
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