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AI takes on doctor referrals: could it cut wait times?

NCT ID NCT07019116

Knowledge-focused Sponsor: Hospital de Clinicas de Porto Alegre Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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 Results may not be published yet.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
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This status has not been confirmed recently, so it may be out of date.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 tests an artificial intelligence (AI) algorithm that helps decide whether a patient's referral to a specialist is urgent or can be handled in primary care. About 934 referrals from the Brazilian state of Rio Grande do Sul will be randomly assigned to either the AI or the usual human review process. The goal is to see if the AI can make faster and more accurate decisions, reducing backlogs and getting high-risk patients seen sooner.

What this could mean

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

Active substance
AI algorithm
What this could lead to
If successful, this could streamline how patients are referred to specialists, reducing wait times and ensuring urgent cases get seen faster.
What could go wrong
This is a single-region study with a specific AI tool; results may not apply elsewhere. The algorithm may misclassify some referrals, and its impact on patient outcomes is not yet proven.

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

About 934 people

The number the study aims to enrol. It can still change while the study runs.

Started

Nov 2025

Expected to finish

Dec 2029

An estimate. End dates often move.

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: * All referrals from a given specialty (waitlist) will be eligible. * Specialties will be selected following Rio Grande do Sul Health Department priorities. Exclusion Criteria: * Referrals that the AI algorithm can not evaluate. These include referrals with attachments (further information in image or PDF files) and referrals with previous rounds of discussion. * Referrals in which the algorithm has low confidence in the decision (i.e., informed data lead to a decision with a probability below 80%) will not be included in the study.

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As listed by the trial registrant

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

Primary care Primary care patients with chronic conditions

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Central de Regulação Ambulatorial

    RECRUITING

    Porto Alegre, Rio Grande do Sul, Brazil

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