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Smartphone AI Assistance for Prehospital ECG Interpretation

RecruitingNAAges 18 Years - anyAllÉcole Supérieure de Soins Ambulanciers - College …
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In plain words

What the trial is, and whether it could suit you

Prehospital providers interpret 12-lead electrocardiograms (ECGs) under time pressure and without immediate expert support. Missed acute coronary occlusion - occlusion myocardial infarction (OMI) - delays reperfusion, while false positive interpretations trigger unnecessary catheterization laboratory activations. Multimodal large language models (LLMs) available on any smartphone can now analyze a photographed ECG, and prehospital providers have begun using them spontaneously. No randomized trial has evaluated whether this practice improves diagnostic performance. This randomized controlled trial compares the diagnostic performance of prehospital providers interpreting ECG clinical vignettes with and without mandatory assistance from a single, version-locked smartphone large language model. Participants - paramedics, emergency medical technicians, nurses and physicians practicing in pre

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📋 Eligibility rules (as published)
Inclusion Criteria: * Prehospital care provider practising in French-speaking Switzerland * Any level of training: emergency medical technician, paramedic (ES), nurse (ES/HES) in prehospital emergency care, or prehospital emergency physician * Electronic informed consent signed before randomization Exclusion Criteria: * Cardiologist * Any person not practising in prehospital care * Insufficient command of written French to answer the vignettes reliably * Refusal to participate or withdrawal of consent
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What it tests

  • Smartphone large language model assistance (GPT-4o, version-locked)
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Where

1 site
Caserne des pompiers de Morat (Swiss French-speaking prehospital clinical research conference)
Murten/Morat, Switzerland
🤝 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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