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AI telephone triage protocol for EMS calls

trIAje project: protocol for a retrospective cohort study to optimise AI-assisted telephone triage of time-sensitive conditions in emergency medical services
BMJ Open · 2026-09-28 · Added 6 October 2026

Protocol for the trIAje project, a Spanish retrospective cohort linking 2020–2024 dispatch records, ePCRs and health-registry data to evaluate and then improve AI-assisted telephone triage of time-sensitive conditions using NLP on dispatcher call text.

Study type
Other
Design
Retrospective cohort study protocol
Participants
All calls 2020–2024 coded as unconsciousness, cardiac arrest, respiratory difficulty, chest pain or suspected stroke (number not stated)
Main finding
No results yet — will compare machine-learning triage performance against final clinical severity, reporting sensitivity, specificity, under- and over-triage and sex-stratified disparity checks
Caveat
Protocol only — no performance data; retrospective Spanish dispatch data may not generalise
Bottom line
Context only

Why it matters in Australia (Medium relevance). A trial protocol rather than a result — telephone triage under- and over-triage is the same problem Australian dispatch services face, so this signals what's coming.

Learning goal

Understand how AI-assisted telephone triage may affect under-triage of time-sensitive conditions and sex-based disparities in dispatch care.

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