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Artificial Intelligence (AI) Support in Medical Emergency Calls

Haukeland University Hospital · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
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acuteartificial-intelligencebraincommunicationdispatchemergenciesmachine-learningmultidisciplinary
More than 12.000 patients suffer acute stroke in Norway every year, but less than half of them reach hospital within the current treatment window for thrombolysis. Stroke is the third-highest cause of death and the number one cause of severe disability requiring long time care at institutions. Consequently this has a high impact on society, patients and relatives, in addition to high costs related to care estimated to approximately 10 billion NOK per year. Although there are few studies on emergency medical communication centres (EMCC) in Norway, some have shown that the performance of the emergency medical communication centres can be improved. This project will seek to amend EMCC´s handling of acute stroke inquiries using artificial intelligence (AI), thus contributing to getting the patient to hospital in time for optimal treatments.
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