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Evaluation and Optimization of Telephone Triage Using Artificial Intelligence (AI) Models for the Detection of Demands for Time-dependent Pathology at the Emergency and Urgent Care Coordination Center (CCUE).

Recruitingn/aAges any - anyAllCentro de Emergencias Sanitarias 061 Andalucía
NCT07247669 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

Improving Telephone Triage in Emergency Calls with AI The Coordinating Centre for Urgencies and Emergencies in Andalusia (CCUE) handles thousands of calls every day. Each call needs to be assessed based on the information given over the phone to determine how serious the case is. The reasons for calling range from minor health issues to life-threatening emergencies like cardiac arrest (CPA). This project focuses on improving telephone triage for four key emergency situations that often indicate severe or life-threatening conditions: Unconsciousness / Cardiac arrest Difficulty breathing Chest pain (non-traumatic, possible heart-related issues) Stroke symptoms Our goal is to make telephone triage more accurate and efficient by using advanced Artificial Intelligence (AI) techniques, including Machine Learning (ML) and Natural Language Processing (NLP). These tools will help CCUE operators

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📋 Eligibility rules (as published)
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.
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What it tests

  • Not listed
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Where

1 site
Centro de Emergencias Sanitarias 061
Málaga, Spain
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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