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AI and simple scores could spot sepsis faster in emergency rooms

NCT ID NCT05584098

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

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

950 people

The number who actually took part.

Started

Mar 2022

Finished

Sep 2023

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * This is a single-center retrospective study of a group of patients admitted to the emergency department. Exclusion Criteria: * Patients with incomplete treatment clinical data, lack of information in medical records, trauma patients

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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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