A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar

Evaluations of prediction models for adverse events in hospitalised patients should incorporate the EEU approach in assessing model suitability and selecting alert thresholds.

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Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2025-11-11
DOI
https://doi.org/10.1093/jamia/ocaf192
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar

Paul Lane, Robert Webb, Steven McPhail, Amith Shetty et al.
Journal of the American Medical Informatics Association
Sepsis Diagnosis and Treatment
article

A novel, standardised approach to balancing effectiveness, efficiency and utility of surveillance AI prediction models for hospitalised patients using sepsis prediction as an exemplar

Paul Lane, Robert Webb, Steven McPhail, Amith Shetty, Anton H. van der Vegt, Ian A Scott, Michael J. Rice, Balasubramanian Venkatesh, Adam Irwin, Ahmad Abdel‐Hafez, T. Isaacs, Stephen Whebell, Rudolf J Schnetler, Kathryn Wilks, Victoria Campbell
article en

Abstract

Evaluations of prediction models for adverse events in hospitalised patients should incorporate the EEU approach in assessing model suitability and selecting alert thresholds.

Journal of the American Medical Informatics AssociationVol. 33(2)
Griffith University (AU), The University of Sydney (AU), Queensland Health (AU), New South Wales Department of Health (AU), Queensland University of Technology (AU), The University of Queensland (AU), The George Institute for Global Health (GB), Gold Coast Hospital (AU), Townsville Hospital (AU), Metro South Health (AU), Sunshine Coast University Hospital (AU), The George Institute for Global Health (AU), Prince Charles Hospital (AU), Children's Health Queensland Hospital and Health Service (AU), Qatar University (QA), National Patient Safety Foundation (US)
Openalex Percentile: Top 55%
Sepsis Diagnosis and Treatment
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