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AI trauma triage model validated in Norway

Evaluating performance and potential clinical benefit of the Swedish On Scene Injury Severity Prediction (OSISP) model for prehospital field triage on Norwegian trauma data
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine · Added 29 July 2026

External validation of AI-based trauma triage model on 29,709 Norwegian trauma patients showed OSISP combined with clinical judgement reduced undertriage from 56% to 2.7% and mortality from 4.1% to 3.4–3.5%.

Study type

Registry

Design

External validation of prediction model on national trauma registry data

Participants

29,709 adult trauma patients attended by EMS in Norway, 2017–2022

Main finding

OSISP alone: AUC ROC 0.83, undertriage 5.0%, overtriage 61.0%. Combined with existing triage: undertriage reduced from 56.0% to 2.7% and overtriage from 30.6% to 19.7%; estimated mortality reduction from 4.1% to 3.4–3.5%

Caveat

External validation in Norwegian registry data; mortality benefit modelled, not demonstrated prospectively

Bottom line

Hypothesis-generating

Learning goal

Strengthen my judgement on combining clinical trauma triage with decision-support tools to reduce undertriage.

More

• Topic: Trauma
• Daily scan: 29 July 2026

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