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Estimating time-sensitive risk at ambulance dispatch

A retrospective register-based prediction study of primary emergency ambulance assignments in Region Stockholm, examining whether structured information available at dispatch can estimate subsequent high-risk time-sensitive triage.

SettingRegion Stockholm · Sweden
Source-data periodsDevelopment 2017–2018 · temporal validation 2019
Prediction pointAt ambulance dispatch
Manuscript in preparationThe manuscript is in preparation. This page describes the study purpose, design and scope only; findings are not presented before journal publication.
Research question
Can structured information available when an ambulance is dispatched estimate subsequent high-risk time-sensitive triage—and offer a more granular risk signal for professional decision-making under constrained capacity?
Study design
A retrospective register-based prediction study of primary emergency ambulance assignments in Region Stockholm, examining whether structured information available at dispatch can estimate subsequent high-risk time-sensitive triage.
Data
Region Stockholm · Sweden · Development 2017–2018 · temporal validation 2019
Planned analysis
The study includes acute primary ambulance assignments dispatched at priorities 1–3 in Region Stockholm. Models are developed using source data from 2017–2018 and temporally evaluated in a later 2019 cohort. The prediction point is ambulance dispatch, and all inputs are limited to structured information available by that time.
Study aim
The aim is to assess whether dispatch-time risk estimation could complement—never replace—professional judgement when reviewing queued calls and considering finite response capacity.

Interpretation boundaries

The study concerns retrospective risk estimation, not autonomous allocation, safe deferral or a deployment-ready clinical tool. No operational decision rule is presented.

Manuscript in preparation

The manuscript is in preparation. This page describes the study purpose, design and scope only; findings are not presented before journal publication.

Research provenance
Publication status
Manuscript in preparation
Research question
Can structured information available when an ambulance is dispatched estimate subsequent high-risk time-sensitive triage—and offer a more granular risk signal for professional decision-making under constrained capacity?
Setting
Region Stockholm · Sweden
Source-data periods
Development 2017–2018 · temporal validation 2019
Study design
The study includes acute primary ambulance assignments dispatched at priorities 1–3 in Region Stockholm. Models are developed using source data from 2017–2018 and temporally evaluated in a later 2019 cohort. The prediction point is ambulance dispatch, and all inputs are limited to structured information available by that time.
Interpretation boundaries
The study concerns retrospective risk estimation, not autonomous allocation, safe deferral or a deployment-ready clinical tool. No operational decision rule is presented.
Manuscript in preparation
The manuscript is in preparation. This page describes the study purpose, design and scope only; findings are not presented before journal publication.
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