Evaluation and Optimization of Telephone Triage Using Artificial Intelligence (AI) Models
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 mino
| Condition(s) | Chest Pain, Stroke Acute, Respiratory Failure, Cardiac Arrest (CA), Coma |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | 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 |
| Who can participate | 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. |
| Sex | All |
| Lead sponsor | Centro de Emergencias Sanitarias 061 Andalucía |
| Locations | Málaga, Málaga, Spain |
| Start date | 2025-03-01 |
| NCT ID | NCT07247669 |
| Official listing | https://clinicaltrials.gov/study/NCT07247669 |