American College of Radiology Develops AI Quality Assurance Program

Clinical stakeholder organizations are working to bring the core elements of consensus-based infrastructure, processes, and governance in AI implementation into real-world practice. One such group is the American College of Radiology, which has launched the ACR-Recognized Center for AI in Healthcare (ARCH-AI), an AI quality assurance program for radiology centers.

According to ACR, by working to achieve and attest to compliance with the program principles, participation in ARCH-AI can help radiology practices provide safe and effective implementation of AI products and help radiologists deliver better patient care.

ARCH-AI site recognition criteria include:
• Establish an interdisciplinary AI governance group.
• Maintain an inventory of AI algorithms with detailed documentation.
• Ensure compliance with security and compliance measures.
• Participate in the diligent review and selection of AI algorithms.
• Document use cases and training procedures.
• Monitoring algorithm performance, including safety and efficacy.
• Contribute to the “Assess-AI” central AI registry for performance benchmarking.

“AI is different from previous technologies,” said Christoph Wald, M.D., Ph.D., M.B.A., vice chair of the ACR Board of Regents and chair of the ACR Informatics Committee, in a statement. “Even an AI product approved by the U.S. Food and Drug Administration must be tested locally to ensure it works safely and as intended. Practice leaders must implement safeguards to maximize the benefit of AI products and minimize risk; ARCH-AI is an efficient, low-cost system to help sites do that.”

“ARCH-AI can help radiology practices structure quality control processes that help them plan for what can go wrong, including developing good AI governance practices, acceptance testing, and monitoring the effectiveness of AI products to ensure they continue to perform as expected over time,” said Keith J. Dreyer, DO, Ph.D., chief scientific officer of the ACR Data Science Institute, in a statement.

Radiology practices that complete the ARCH-AI process will receive an ACR recognition badge to display in their waiting rooms and lobbies to demonstrate to their communities, patients, payers, and referring physicians that they are committed to integrating AI in a safe and responsible manner that enables them to deliver the best modern healthcare possible.

Organizations already recognized by ARCH-AI include Mayo Clinic Care Network, University of Washington Medical Center, Penn Medicine, University of Wisconsin Health, Yale New Haven Health, Cleveland Clinic, UT Southwestern Medical Center, Jefferson Health, University of Maryland School of Medicine and Beth Israel Lahey Health.

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