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Designing an Information Model for Structured Referrals and Interoperable Data Exchange in Radiology
Laura Palling1,2, Julius Juurmaa1,2, Gunnar Piho3
1Department of Health Technologies, Tallinn University of Technology, Estonia.
Studies in Health Technology and Informatics
|May 23, 2026
Summary
Standardizing radiology referrals with a new information model improves communication and reduces clinical risk. This approach enhances data consistency and supports better patient care across medical specialties.
Area of Science:
- Medical Informatics
- Radiology
- Health Information Management
Background:
- Effective communication between referring clinicians and radiology is crucial for patient diagnosis and treatment.
- Incomplete or inconsistent radiology referrals lead to significant inefficiencies and clinical risks.
Purpose of the Study:
- To present a conceptual information model for standardizing radiology referral and procedural information.
- To enable interoperability, localization, and risk management in radiological communication.
Main Methods:
- Analysis of approximately 2,500 radiological procedures.
- Semi-structured interviews with stakeholders across diagnostic and interventional radiology.
- Mapping identified principles to SNOMED CT for structured data capture and reuse.
Main Results:
- Development of a standardized information model based on shared principles.
- The model facilitates structured data capture and cross-system reuse of information.
- Provides a foundation for communication tools like procedure catalogues and referral templates.
Conclusions:
- The novel approach abstracts radiological data into reusable principles.
- This model can enhance consistency, interoperability, and quality management in radiology.
- Implementation in a clinical setting will evaluate its potential for improved communication and decision support.
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