The development of a decision support tool in the prehospital setting for acute chest pain - a study protocol for an observational study (BRIAN2).

Introduction: Chest pain is one of the most common reasons for contacting the emergency medical services (EMS). It is difficult for EMS personnel to distinguish between patients suffering from a high-risk condition in need of prompt hospital care and patients suitable for non-conveyance. A vast majority of patients with chest pain are therefore transported to the emergency department (ED) for further investigation even if hospital care is not necessary.

Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study.

Background: In Sweden with about 10 million inhabitants, there are about one million primary ambulance missions every year. Among them, around 10% are assessed by Emergency Medical Service (EMS) clinicians with the primary symptom of dyspnoea. The risk of death among these patients has been reported to be remarkably high, at 11,1% and 13,2%.

A Workshop for Accessible Crisis Information.

Libraries have been pinpointed as a possible hub for information and safety during a crisis. We present a workshop design to contribute to the education of librarians with the goal to make them more able to provide inclusive and accessible information in a crisis. The workshop was carried out during a conference for librarians.