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January 1, 2026Internal MedicineOpen Access

Predictive accuracy of Early Warning Score Systems for Detecting Critically Ill Patients in an Outpatient Setting

Jun Ehara Sachiko Ohde Eiji Hiraoka Yosuke Homma Shigeki Fujitani

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Key Points

This research aims to evaluate the accuracy of Early Warning Score Systems in identifying critically ill patients in outpatient settings.
Conducted a pilot study
Applied National Early Warning Score (NEWS)
Assessed patient outcomes related to admission and ICU transfer
Analyzed predictive accuracy of score
NEWS effectively predicts admission needs
Identified patients at risk for unexpected ICU transfers
Showed potential to improve triaging of outpatient care

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Implication

Pilot study demonstrates predictive accuracy of early warning scores in outpatient settings, suggesting improved triaging.

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Cite This Study

Ehara et al. (2026) studied this question.

synapsesocial.com/papers/69a91d55d6127c7a504c002f https://doi.org/10.2169/internalmedicine.5756-25

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