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

NCT ID NCT07019116

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

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.

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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

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Central de Regulação Ambulatorial

    RECRUITING

    Porto Alegre, Rio Grande do Sul, Brazil

    Contact Phone: •••-•••-•••• Email: •••••@•••••

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