RadLex and SNOMED CT integration: a pilot study for standardising radiology classification.

ABSTRACT:

Background

Effective communication and information exchange across diverse platforms are critical in healthcare data systems. However, the presence of multiple coding systems and varying standards creates discrepancies and misalignments, highlighting the need for innovative solutions to address these challenges.

Objective

The study aimed to develop a technical and semantic interoperability method specifically for radiology procedures, utilising the terminology management tool TermX to facilitate efficient data exchange and utilisation in healthcare.

Results

The study resulted in a revised RadLex data model using SNOMED CT, accompanied by a mapping guide and a classification system for X-ray and angiography procedures. This classification system consists of nineteen di

SUBMITTER: Marquis M 

PROVIDER: S-EPMC11906921 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature