The Agency for Healthcare Research and Quality launched a $7.95 million prize initiative Oct. 7 aimed at using AI to speed medical evidence reviews and expand the use of federal healthcare data.
The agency, part of HHS, is calling the effort the Super Intelligence for Healthcare Improvement Initiative. It includes two competitions focused on clinical evidence synthesis and healthcare research, quality and safety.
The larger component, the Clinical Evidence Synthesis Transformation Challenge, offers up to $5.85 million in prizes, including a $5.35 million grand prize, for tools that could reduce the time required to evaluate medical evidence from a year or more to hours.
Finalists will be evaluated on factors including accuracy, throughput, reproducibility, usability and ease of operation.
“Reliable clinical evidence is critical for doctors, patients, payers and policymakers,” AHRQ Director Roger Klein, MD, said in the release. “We now have technologies that will allow us to accomplish the essential core function of evidence synthesis with previously unimaginable speed, consistency and reproducibility.”
A second competition, the SI Tech Sprint for Healthcare Research and Implementation Quality and Safety, will focus on using AHRQ’s cost, utilization and quality databases to develop applications for research, quality improvement, patient safety and public use.
The initiative follows President Donald Trump’s Sept. 29 executive order directing federal agencies to use “super intelligence” in place of “artificial intelligence” in official communications.
AHRQ said individuals, teams and for-profit and nonprofit organizations are eligible to participate. Phase 1 submissions for the evidence synthesis challenge are due March 12, 2027, and submissions for the tech sprint are due Sept. 9, 2027.
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