Automated vetting of radiology referrals: exploring natural language processing and traditional machine learning approaches

Automated vetting of radiology referrals: exploring natural language processing and traditional machine learning approaches

Abstract Background With a significant increase in utilisation of computed tomography (CT), inappropriate imaging is a significant concern. Manual justification audits of radiology referrals are time-consuming and require financial resources. We aimed to retrospectively audit justification of brain...

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Bibliographic Details
Main Authors: Jaka Potočnik, Edel Thomas, Ronan Killeen, Shane Foley, Aonghus Lawlor, John Stowe
Format: Article
Language:English
Published: SpringerOpen 2022-08-01
Series:Insights into Imaging
Subjects:
Machine learning
Natural language processing
Justification audit
Radiology referral
Clinical decision support
Online Access:https://doi.org/10.1186/s13244-022-01267-8

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