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Upcoming study · Manuscript in preparation

Dispatch-time prediction for safer EMS resource allocation

A retrospective model-development and temporal-validation study examining whether information available when an ambulance is dispatched can estimate the probability of later high-risk time-sensitive triage.

SettingRegion Stockholm · Sweden
Source-data periodsDevelopment 2017–2018 · temporal validation 2019
Prediction pointAt ambulance dispatch
Manuscript in preparationTo protect the journal publication process, no study results or performance estimates are presented here.

Can information already available at ambulance dispatch provide a useful probability estimate of subsequent high-risk time-sensitive triage—and add nuance to human-led resource allocation when capacity is constrained?

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Study design

Primary ambulance assignments in Region Stockholm are studied retrospectively. Models are developed using source data from 2017–2018 and evaluated in a calendar-later 2019 cohort. Predictors are restricted to structured information available at or before dispatch.

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Intended contribution

The study examines a possible information layer for professional decision-making: a continuous estimate of clinical risk that can be interpreted alongside dispatch priority, queue state and system readiness.

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Interpretation boundaries

The study does not evaluate autonomous allocation, safe deferral or a live clinical tool. Any future use would require prospectively locked validation, workflow and human-factors evaluation, equity assessment, governance and continued professional oversight.

Manuscript in preparation

To protect the journal publication process, no study results or performance estimates are presented here.