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AI analyzes 100,000 COVID-19 cases to predict who gets worst outcomes

NCT ID NCT04569851

Knowledge-focused Sponsor: Savana Research 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
The trial has finished. Results may not be published yet.
Stopped early This study
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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study used artificial intelligence to analyze electronic health records from 100,000 COVID-19 patients across multiple hospitals. The goal was to identify factors that predict whether a patient would be hospitalized, need ICU care, or die. The study was terminated early, so findings may be limited.

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 help doctors better predict which COVID-19 patients need hospital care or ICU support.
What could go wrong
The study was terminated early, so results may be incomplete. It only looked at past records, not testing new treatments.

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.

Participants

100,000 people

The number who actually took part.

Started

Jan 2020

Finished

Feb 2024

Lead sponsor

A research network

The lead sponsor is a research network or cooperative group.

Who can take part

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

Who is studied

The study population will consist of all patients with suspected COVID-19 infection, as captured in the patients' EHRs of the participating sites. Among the suspected COVID-19 cases, we will determine the following: * Confirmed positive cases (i.e., all patients who tested positive for COVID-19 ). * Confirmed negative cases (i.e., all patients who tested negative for COVID-19) * Possible cases (i.e., all patients with suspected COVID-19 but no/pending test results) To determine the characteristics of the patients according to their clinical outcome, we will study both the confirmed positive cases and all possible classes (with no/pending laboratory results) subpopulations

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: * All patients with suspected COVID-19 infection, as captured in the patients' EHRs of the participating sites. Exclusion Criteria: * Not suspected COVID-10 infection

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Conditions

The condition(s) this trial relates to.

COVID-19

As listed by the trial registrant

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

COVID-19 infection

Contacts and locations

Locations

  • Hospital Universitario La Princesa

    Madrid, Madrid, Spain

  • Hospital Universitario de Guadalajara

    Guadalajara, Guadalajara, Spain

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