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New tool aims to tame ER overcrowding

NCT ID NCT02754245

Knowledge-focused Sponsor: Baylor Research Institute 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested a new tool called SONET to measure how crowded emergency departments (ERs) are. Researchers looked at data from 7,000 adult patients across six hospitals to see if the tool could accurately predict problems like long waits or patients leaving without being seen. The study was stopped early, so we don't have full results yet.

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 hospitals better manage overcrowding in emergency rooms, potentially reducing wait times and improving patient care.
What could go wrong
The study was terminated early, so results are limited. The tool may not work as well in different hospitals or settings.

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

7,000 people

The number who actually took part.

Started

Nov 2016

Finished

Mar 2019

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.

Who is studied

all adult patients visiting any one of the six participating sites (one JPS ED or urgent care clinic or one of five Baylor emergency departments or urgent care clinics) during the allocated one month time period

Ages

18 to 100 years

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 adult patients visiting the emergency department or urgent care clinic at any one of the six participating sites during the allocated one month time period Exclusion Criteria: * those who do not meet inclusion criteria

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Conditions

The condition(s) this trial relates to.

Emergencies

As listed by the trial registrant

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

Emergency department overcrowding

More trials for these conditions

Other studies related to the condition(s) this trial covers.