How Agentic AI Is Transforming Imaging Interoperability

Key Details

• 1Traditional standards like DICOM, HL7, and FHIR work well but miss many real-world workflow gaps, which staff must bridge through manual work.
• 2Agentic AI tools act as credentialed users, automating workflows across platforms by mimicking human actions on user interfaces.
• 3Use-cases include requisition intake, prior imaging retrieval, reminders/prep orchestration, self-scheduling, and managing follow-up recommendations.
• 4Modern agentic AI combines language models, computer vision, and policy rules, maintaining context across multiple systems and generating audit trails.
• 5Safety, auditability, RBAC, and human-in-the-loop are emphasized as essential guardrails for deploying agentic AI in clinical environments.
• 6Outcome metrics for success include reduced manual touches, faster scheduling, fewer repeat scans, and more timely follow-up closures.