A summit convened May 30 by the American College of Radiology’s Data Science Institute (DSI) with imaging artificial intelligence (AI) developers at the Society for Imaging Informatics in Medicine (SIIM) conference in Washington, DC, focused on the opportunities and challenges of integrating augmented intelligence into the economics of radiology. The question of how AI algorithms, designed to increase the quality of care, could fit into fee-for-service and/or value-based payment paradigms was of particular interest.
Attendees learned about potential pathways to payment from American College of Radiology (ACR) leaders, such as Drs. Keith J. Dreyer (CSO, ACR-DSI), Bibb Allen (CMO, ACR-DSI), Zeke Silva (Chair, ACR Commission on Economics), Kurt Schoppe (ACR Economics Committee on Reimbursement), and Gregory N. Nicola (Chair, ACR Economics Committee on MACRA). They also learned about regulatory and practice implementation issues and the DSI’s efforts to assist developers, radiologists and federal agencies by defining use cases, providing validation services and enhancing real-world performance-monitoring capabilities. The summit featured robust dialog and Q&A between radiology thought-leaders, AI algorithm developers and others in the imaging AI stakeholder community.
See the ACR Data Science Institute website for more information regarding the ACR Data Science Institute’s activities and objectives in the evolving imaging AI landscape.