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Designing an Information Model for Structured Referrals and Interoperable Data Exchange in Radiology.

Laura Palling^1,2, Julius Juurmaa^1,2, Gunnar Piho³

¹Department of Health Technologies, Tallinn University of Technology, Estonia.

Studies in Health Technology and Informatics

|May 23, 2026

Summary

This summary is machine-generated.

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.

Keywords:

Radiology SNOMED CT clinical decision support information model interoperability quality management referral workflow

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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.