Jakob Lundager Forberg

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BACKGROUND Assessment and treatment of the acutely ill patient have improved by introducing systematic assessment and accelerated protocols for specific patient groups. Triage systems are widely used, but few studies have investigated the ability of the triage systems in predicting outcome in the unselected acute population. The aim of this study was to(More)
BACKGROUND Chest pain is one of the most common complaints in the Emergency Department (ED), but the cost of ED chest pain patients is unclear. The aim of this study was to describe the direct hospital costs for unselected chest pain patients attending the emergency department (ED). METHODS 1,000 consecutive ED visits of patients with chest pain were(More)
BACKGROUND Several models for prediction of acute coronary syndrome (ACS) among chest pain patients in the emergency department (ED) have been presented, but many models predict only the likelihood of acute myocardial infarction, or include a large number of variables, which make them less than optimal for implementation at a busy ED. We report here a(More)
BACKGROUND Evaluation of emergency department (ED) performance remains a difficult task due to the lack of consensus on performance measures that reflects high quality, efficiency, and sustainability. AIM To describe, map, and critically evaluate which performance measures that the published literature regard as being most relevant in assessing overall ED(More)
BACKGROUND Previous studies from the USA have shown that acute nuclear myocardial perfusion imaging (MPI) in low risk emergency department (ED) patients with suspected acute coronary syndrome (ACS) can be of clinical value. The aim of this study was to evaluate the utility and hospital economics of acute MPI in Swedish ED patients with suspected ACS. (More)
BACKGROUND Pre-hospital electrocardiogram (ECG) transmission to an expert for interpretation and triage reduces time to acute percutaneous coronary intervention (PCI) in patients with ST elevation Myocardial Infarction (STEMI). In order to detect all STEMI patients, the ECG should be transmitted in all cases of suspected acute cardiac ischemia. The aim of(More)
OBJECTIVE Patients with suspicion of acute coronary syndrome (ACS) are difficult to diagnose and they represent a very heterogeneous group. Some require immediate treatment while others, with only minor disorders, may be sent home. Detecting ACS patients using a machine learning approach would be advantageous in many situations. METHODS AND MATERIALS(More)
Background The Emergency Department (ED) at Hillerød Hospital uses a five-level triage system inspired by the Swedish ADAptiv Process Triage (ADAPT). The triage categories are red, orange, yellow, green and blue. Patients classified as red need immediate treatment whereas blue patients are non-urgent and not admitted to hospital. The patient is assigned a(More)
Systematic process triage is a relatively unknown concept in Denmark. Currently there are no national recommendations regarding triage models for use in the emergency department (ED). Four medium-sized EDs from different regions across the country cooperated in a joint venture to develop a new triage model, Danish Emergency Process Triage (DEPT). DEPT is(More)
BACKGROUND AND PURPOSE The purpose of this study was to determine which leads in the standard 12-lead electrocardiogram (ECG) are the best for detecting acute coronary syndrome (ACS) among chest pain patients in the emergency department. METHODS Neural network classifiers were used to determine the predictive capability of individual leads and(More)