AI to improve telephone triage for emergency calls at CCUE Andalucía

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The project uses anonymized historical emergency call records from the CCUE (CES-061 Andalucía) to develop and optimize AI models for telephone triage. Researchers will combine structured fields (triage questions and codes) with unstructured free-text call notes and apply machine learning and natural language processing methods. The goal is to make operator decisions faster and more accurate for four high-risk call types: unconsciousness/cardiac arrest, respiratory distress, non-traumatic chest pain, and stroke. This is an observational analysis of recorded calls rather than an interventional patient treatment.

Why it matters

Who can join: the full rules

Inclusion Criteria:

Telephone calls recorded with codes A36 + A58 (unconsciousness/cardiorespiratory arrest), A16 (respiratory distress), A23 (non-traumatic chest pain) and A54 (stroke).

Exclusion Criteria:

* Demands with relevant information about the patient or the event incomplete or absent.

Where it's running

• Centro de Emergencias Sanitarias 061
  Málaga, Málaga, Spain Recruiting

Study contacts

• Study coordinator: María José MJ Dr. Luque Hernández, MD PhD
• Email: mariajose.luque.sspa@juntadeandalucia.es
• Phone: 0034 617563352

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.