AI and simple scores could spot sepsis faster in emergency rooms

NCT ID NCT05584098

Completed Knowledge-focused Sponsor: St. Martin De Porress Hospital Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study tested whether two simple checklists (MEWS and qSOFA) can help predict sepsis in emergency room patients. Researchers reviewed the medical records of 950 people who visited one hospital's ER between 2020 and 2022. The goal was to see if these tools, combined with AI, could alert doctors earlier so they can start treatment faster.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to a simple, AI-assisted way to spot sepsis earlier in busy emergency rooms, helping doctors respond faster.
What could go wrong: This was a small, single-center study that only looked back at past records. The tools may not work as well in other hospitals or with different patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

infectious disease with sepsis Sepsis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

SEPSIS

Contacts and locations

Locations

St. Martin De Porres Hospital

Chiayi City, 600046, Taiwan
St. Martin De Porres Hospital

Chiayi City, 60069, Taiwan

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