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Effect of Machine Learning on Dispatcher Recognition of Out-of-Hospital Cardiac Arrest During Calls to Emergency Medical Services: A Randomized Clinical Trial
IMPORTANCE: Emergency medical dispatchers fail to identify approximately 25% of cases of out-of-hospital cardiac arrest (OHCA), resulting in lost opportunities to save lives by initiating cardiopulmonary resuscitation. OBJECTIVE: To examine how a machine learning model trained to identify OHCA and a...
Autores principales: | Blomberg, Stig Nikolaj, Christensen, Helle Collatz, Lippert, Freddy, Ersbøll, Annette Kjær, Torp-Petersen, Christian, Sayre, Michael R., Kudenchuk, Peter J., Folke, Fredrik |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788469/ https://www.ncbi.nlm.nih.gov/pubmed/33404620 http://dx.doi.org/10.1001/jamanetworkopen.2020.32320 |
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