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From development to clinical practice: deployment of an interoperable and secure ML-based CDSS to aid in the early detection of sepsis

delete2026-06-17
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OA
AI
A
Ana Serrano García
D
David J. López
E
Eric Macias-Fassio *
S
Santiago Salas-Sosa
I
Iván Pascual
C
Cristina Pruenza
M
Marcío Borges-Sa
A
Andrés Giglio
J
Jaime Cruz-Rojo
R
Rodrigo Pacheco-Puig
DOI:10.1016/j.ijmedinf.2026.106545delete
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Abstract

Abstract

En 中文
• Novel framework with standards-based, EHR-agnostic design for high interoperability. • Flexible CDSS providing early ML-alerts integrated into clinical workflows. • Deployed on hospital side servers to fully preserve data privacy. • Operating in real time across two hospital settings.
Keywords:
CDSS
Machine learning
Sepsis
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Journal

International Journal of Medical Informatics cover
International Journal of Medical Informatics
IF:
4.1
Papers:
4.5K
Citations:
1.1W

Organization

S
son llatzer hospital
Scholars:
20
Papers: 3
Citations: 0
I
instituto de ingenieria del conocimiento
Scholars:
15
Papers: 4
Citations: 0
Hospital Universitario 12 De Octubre cover
Hospital Universitario 12 De Octubre
Scholars:
9.4K
Papers: 6.1K
Citations: 3.6K
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