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Published on: January 16, 2019
Early Warning Systems for Critical Illness Outside the Intensive Care Unit
Katharine E Henry1, Heather M Giannini2
1Department of Computer Science, Johns Hopkins University, Malone Hall, 3400 N Charles Street, Baltimore, MD 21218, USA.
Early warning systems (EWSs) rapidly assess and respond to patient deterioration outside the intensive care unit (ICU). This review covers the evolution of EWS from basic scoring to advanced predictive technologies for clinical decompensation.
Area of Science:
- Clinical Informatics
- Patient Monitoring
- Healthcare Technology
Background:
- Early warning systems (EWSs) are crucial for timely intervention in patients with clinical deterioration outside the intensive care unit (ICU).
- Existing EWS models utilize patient data like vital signs and lab values to predict adverse events.
- The adoption and effectiveness of EWS vary significantly in clinical practice.
Purpose of the Study:
- To review the historical development and current state of early warning systems.
- To examine the evolution from simple scoring systems to complex predictive algorithms.
- To discuss the clinical utility and perception of EWS in non-ICU settings.
Main Methods:
- Literature review of early warning systems.
- Analysis of the progression of EWS from vital sign-based to multidimensional algorithms.
- Examination of predictive technologies for clinical decompensation.
Main Results:
- EWS have evolved significantly from basic vital sign scores to sophisticated predictive models.
- Contemporary EWS incorporate diverse patient data for enhanced detection of clinical deterioration.
- The field is moving towards advanced technologies for predicting adverse events outside the ICU.
Conclusions:
- Early warning systems are integral to managing patients at risk of clinical decompensation.
- The continuous development of EWS aims to improve patient outcomes and healthcare efficiency.
- Further research and implementation are needed to optimize the clinical utility and perception of EWS.
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