Digital Decision Support in the Management of Patients With Chest Pain

Summary

The goal of this observational study is to develop a decision support system in patients presenting with chest pain in the prehospital setting. The main question it aims to answer is: • Performance of a machine learning based model for decision support of patients in contact with emergency medical services due to chest pain Participants will be asked to: * respond to questions asked by the clinician at the scene regarding previous known risk factors and pain characteristics * consent to the collection of routinely available data from medical records * consent of taking one blood sample capillary or venous (if perifer catheter is placed for standard care reasons) troponin and glucose which is measured at the scene, disposed, and the result is entered in the clinical report form.

Eligibility

Inclusion Criteria:

* Patient in contact with the emergency medical service and patient main symptom is chest pain or chest discomfort
* Primary assignment (not assessed by physician in primary care, hospital)

Exclusion Criteria:

* Assignment taking place outside participating emergency medical service organisation geographical catchment area
* Under 18 years of age
* Unwillingness to participate
* Unable to participate (language, dementia, etc.)
* Other

Conditions4

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