About the Session
Radiology is increasingly dependent on structured, interoperable data to support clinical decision-making, workflow efficiency, and responsible AI development. This session introduces a cohesive framework connecting three essential components of radiology data standardization: Common Data Elements (CDEs), RadLex, and the Open Imaging Data Model (OIDM). Together, these tools enable consistent documentation of imaging observations, semantic interoperability across systems, and integration of imaging data with the broader clinical context.
Attendees will explore how CDEs standardize data capture, how RadLex provides the controlled vocabulary needed for semantic meaning, and how OIDM brings these elements together into a modular structure capable of representing imaging studies alongside patient history, protocols, and outcomes. The session concludes with real-world examples showing how standardized data powers clinical alerts, drug toxicity assessment, AI model cards, and registry-based monitoring to support safe, scalable imaging AI.
Objectives
- Describe radiology semantic standards such as CDEs and RadLex and their role in structured data capture and interoperability.
- Explain how modular data models like OIDM support the integration of imaging information with the full clinical context.
- List key use cases where standardized data advances clinical workflows and responsible AI development.
Presented By
