Timing is survival: modeling how earlier calls improve cardiac arrest outcomes

Geographic disparities in emergency response times strongly influence survival after cardiac arrest. Wearables and AI-based monitoring cannot predict cardiac arrest but may promote earlier recognition of abnormal physiological states and timelier emergency calls. If widely adopted, such technologies could provide substantial survival gains, particularly in rural and remote regions.

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Publication Details

Journal
Frontiers in Digital Health
Published
2026-01-08
DOI
https://doi.org/10.3389/fdgth.2025.1695377
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
0.00
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article

Timing is survival: modeling how earlier calls improve cardiac arrest outcomes

Marius Ole Johansen, Rune Johan Krumsvik, Vegard Slettvoll
Frontiers in Digital Health
Cardiac Arrest and Resuscitation
article

Timing is survival: modeling how earlier calls improve cardiac arrest outcomes

Marius Ole Johansen, Rune Johan Krumsvik, Vegard Slettvoll
article en

Abstract

Geographic disparities in emergency response times strongly influence survival after cardiac arrest. Wearables and AI-based monitoring cannot predict cardiac arrest but may promote earlier recognition of abnormal physiological states and timelier emergency calls. If widely adopted, such technologies could provide substantial survival gains, particularly in rural and remote regions.

Frontiers in Digital HealthVol. 7
University of Bergen (NO)
Openalex Percentile: Top 98%
Cardiac Arrest and Resuscitation
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Timing is survival: modeling how earlier calls improve cardiac arrest outcomes — Marius Ole Johansen, Rune Johan Krumsvik, et al. · Frontiers in Digital Health (2026) | TGRS Research Map | TGRS