- Trauma and Emergency Care Studies
- Cardiac Arrest and Resuscitation
- Emergency and Acute Care Studies
- Anesthesia and Pain Management
- Acute Myocardial Infarction Research
- Pain Mechanisms and Treatments
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- COVID-19 and healthcare impacts
- Sepsis Diagnosis and Treatment
- Trauma Management and Diagnosis
- Neuropeptides and Animal Physiology
- Acute Ischemic Stroke Management
- Coronary Interventions and Diagnostics
- Patient Safety and Medication Errors
- Heart Failure Treatment and Management
- Respiratory Support and Mechanisms
- Antiplatelet Therapy and Cardiovascular Diseases
- Spine and Intervertebral Disc Pathology
- Mechanical Circulatory Support Devices
- Venous Thromboembolism Diagnosis and Management
- Airway Management and Intubation Techniques
- Pain Management and Placebo Effect
- Disaster Response and Management
- Traumatic Brain Injury and Neurovascular Disturbances
Uppsala University Hospital
2001-2025
Uppsala University
2010-2024
Hellenic American University
2021
University College London
2021
Chitose Institute of Science and Technology
2021
Harvard University Press
2021
New York University Press
2021
Lund University
2021
In-Q-Tel
2013
The triage of patients in prehospital care is a difficult task, and improved risk assessment tools are needed both at the dispatch center on ambulance to differentiate between low- high-risk patients. This study validates machine learning-based approach generating scores based hospital outcomes using routinely collected data.Dispatch, ambulance, data were one Swedish region from 2016-2017. Dispatch records used develop gradient boosting models predicting admission, critical (defined as...
Background Clinical feedback is often lacking in prehospital care, and while performance data increasingly available to clinical operational leadership, it seldom made care providers themselves. In this study, we investigate the impact of a simple intervention consisting provision monthly reports via email emergency medical dispatch nurses three Swedish regions. Method Individualised 14 measures divided into descriptive (eg, priority-setting call times), process times documentation...
BACKGROUND: The ongoing TANGO2 (Telephone Assisted CPR. AN evaluation of efficacy amonGst cOmpression only and standard CPR) trial is designed to evaluate whether compression-only cardiopulmonary resuscitation (CPR) by trained laypersons noninferior CPR in adult out-of-hospital cardiac arrest. This pilot study assesses feasibility, safety, intermediate clinical outcomes as part the larger survival trial. METHODS: Emergency medical dispatch calls suspected arrest were screened for inclusion...
Abstract We discovered a variation of rat sciatic nerve anatomy as an incidental finding during the anatomical exploration lesion site in neuropathic pain model. To confirm composition and distribution nerve, macroscopic investigation was performed both left right sides 24 adult Sprague‐Dawley rats. In all rats, L4 L5 spinal nerves were fused tightly to form nerve. However, L6 did not fuse with this completely part but rather sent thin branch it 13 rats (54%), whereas remaining 11 (46%), ran...
Objectives This study aimed to assess whether trigger tools were useful identifying triage errors among patients referred non-emergency care by emergency medical dispatch nurses, and describe the characteristics of these patients. Design An observational nurses care. Setting Dispatch centres in two Swedish regions. Participants A total 1089 adult directed between October 2016 February 2017. 53% female median age was 61 years. Primary secondary outcome measures The primary a visit an...
Abstract Background The novel coronavirus disease 2019 (Covid-19) pandemic has affected prehospital care systems across the world, but presentation of patients and extent to which providers are able identify them is not well characterized. In this study, we describe Covid-19 in a Swedish system, asses predictive value suspicion as documented by dispatch ambulance nurses. Methods Data for all with dispatch, ambulance, hospital records between January 1–August 31, 2020 were extracted. A...
Background: Although drug administration through an intrathecal catheter is widely used in the study of spinal pharmacology, positions transverse plane that may cause a limited spread solution remain unclear. In first step to clarify this issue, distribution position was investigated rats. Methods: A polyethylene (PE‐10) inserted intrathecally 8.5 cm atlanto‐occipital membrane, aiming tip dorsal surface cord. Three or four weeks after implantation catheter, 83 rats were transcardiacally...
If an ambulance nurse could bypass the emergency department (ED) and bring suspected stroke patients directly to a CT scanner, time thrombolysis be shortened. This study evaluates level of agreement between nurses physicians in assessing need for scan, interventions monitoring beforehand, with and/or lowered consciousness.From October 2008 June 2009, we compared nurses' ED physicians' judgement 200 symptoms. Both groups answered identical questions on patients' beforehand.There was poor...
Abstract Background The novel coronavirus disease 2019 (Covid-19) pandemic has affected prehospital care systems across the world, but presentation of patients and extent to which providers are able identify them is not well characterized. In this study, we describe Covid-19 in a Swedish system, asses predictive value suspicion as documented by dispatch ambulance nurses. Methods Data for all with dispatch, ambulance, hospital records between January 1 - August 31, 2020 were extracted. A...
Abstract Background The triage of patients in pre-hospital care is a difficult task, and improved risk assessment tools are needed both at the dispatch center on ambulance to differentiate between low- high-risk patients. This study develops validates machine learning-based approach predicting hospital outcomes based routinely collected prehospital data. Methods Dispatch, ambulance, data were one Swedish region from 2016 - 2017. Dispatch records used develop gradient boosting models...
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