ABSTRACT NUMBER: ESOC2026A52 BRIDGING PREHOSPITAL DATA AND IN-HOSPITAL DATA TO IMPROVE ACUTE STROKE CARE PATHWAYS

Abstract Background and aims Timely treatment is essential in acute ischemic stroke, as clinical outcomes are strongly dependent on minimizing delays across the care pathway. In Denmark, prehospital and hospital data are routinely collected. This project aimed to integrate these data sources into a unified database to enable real-time monitoring, feedback and support quality improvement in acute stroke care. Methods We conducted a regional quality improvement project in Region Zealand, Denmark, linking data from the prehospital administrative system (Locus) and the National Danish Stroke Registry (DanStroke). We included patients who accessed emergency services through the national emergency number (1-1-2) with a confirmed diagnosis of stroke. Four quality indicators were developed across the prehospital setting and the stroke unit to capture time-sensitive processes: time on-scene, emergency call-to-door time, door-to-needle time, and door-to-drive time for patients eligible for endovascular thrombectomy. Data is stored and processed in the regional Data Warehouse and visualized in a regional information platform. Results The bridged data enables continuous tracking of the stroke care trajectory. The quality indicators provide actionable insights within performance and variation across prehospital units and the stroke unit. The integration of data allows real-time feedback to healthcare providers, supporting data-driven clinical decision-making and targeted system improvement. Conclusions Linking prehospital and hospital data is feasible within the Danish healthcare infrastructure. Real-time monitoring of indicators enhances transparency and facilitates agile quality improvement. This approach may serve as a model for broader implementation in stroke systems of care and inspire future research focused on equitable and efficient stroke treatment. Conflict of interest Nicholine Sørine Kolle Thomsen: nothing to disclose

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Publication Details

Journal
European Stroke Journal
Published
2026-05-01
DOI
https://doi.org/10.1093/esj/aakag023.175
Primary Topic
Acute Ischemic Stroke Management
Type
article
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article

ABSTRACT NUMBER: ESOC2026A52 BRIDGING PREHOSPITAL DATA AND IN-HOSPITAL DATA TO IMPROVE ACUTE STROKE CARE PATHWAYS

Nicholine Thomsen
European Stroke Journal
Acute Ischemic Stroke Management
article

ABSTRACT NUMBER: ESOC2026A52 BRIDGING PREHOSPITAL DATA AND IN-HOSPITAL DATA TO IMPROVE ACUTE STROKE CARE PATHWAYS

Nicholine Thomsen
article en

Abstract

Abstract Background and aims Timely treatment is essential in acute ischemic stroke, as clinical outcomes are strongly dependent on minimizing delays across the care pathway. In Denmark, prehospital and hospital data are routinely collected. This project aimed to integrate these data sources into a unified database to enable real-time monitoring, feedback and support quality improvement in acute stroke care. Methods We conducted a regional quality improvement project in Region Zealand, Denmark, linking data from the prehospital administrative system (Locus) and the National Danish Stroke Registry (DanStroke). We included patients who accessed emergency services through the national emergency number (1-1-2) with a confirmed diagnosis of stroke. Four quality indicators were developed across the prehospital setting and the stroke unit to capture time-sensitive processes: time on-scene, emergency call-to-door time, door-to-needle time, and door-to-drive time for patients eligible for endovascular thrombectomy. Data is stored and processed in the regional Data Warehouse and visualized in a regional information platform. Results The bridged data enables continuous tracking of the stroke care trajectory. The quality indicators provide actionable insights within performance and variation across prehospital units and the stroke unit. The integration of data allows real-time feedback to healthcare providers, supporting data-driven clinical decision-making and targeted system improvement. Conclusions Linking prehospital and hospital data is feasible within the Danish healthcare infrastructure. Real-time monitoring of indicators enhances transparency and facilitates agile quality improvement. This approach may serve as a model for broader implementation in stroke systems of care and inspire future research focused on equitable and efficient stroke treatment. Conflict of interest Nicholine Sørine Kolle Thomsen: nothing to disclose

European Stroke JournalVol. 11(Supplement_1)
Zealand University Hospital (DK)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Acute Ischemic Stroke Management
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