Priya Padate

Healthcare organizations are deploying AI agents to optimize radiology worklist assignment, moving beyond rigid rule-based systems that enable radiologists to cherry-pick easier cases. Research across 62 hospitals found inefficient case assignment causes 17.7-minute delays for expedited cases and costs of $2.1M to $4.2M annually. AWS and Radiology Partners are partnering to implement agentic AI that factors in radiologist specialization, workload, fatigue, and case complexity to improve diagnostic throughput and reduce delays.