AWS and Radiology Partners deploy AI agents to optimize radiologist worklist assignment and reduce diagnostic delays

Research across 62 hospitals analyzing 2.2 million studies found that inefficient case assignment in traditional worklist systems causes 17.7-minute delays for expedited cases and costs of $2.1M–$4.2M across hospital networks.

AI agents on Amazon Bedrock AgentCore reason about radiologist specialization, current workload, fatigue patterns, case complexity, clinical urgency, and availability to match each exam with the optimal radiologist, replacing rigid rule-based systems that ignore context.

Amazon Bedrock Guardrails blocks inbound queries attempting to extract patient personally identifiable information (PII) and redacts PII from outbound agent responses, while agents internally operate on full exam-level data for accurate optimization.