Showing results (1-10 of 123) with videos related to

Sort By:
Pageof 13
BMC Medical Informatics and Decision Making|March 25, 2025
Understanding EMS response times: a machine learning-based analysisPeter Hill, Jakob Lederman, Daniel Jonsson, et al.
BMC Medical Informatics and Decision Making|June 3, 2025
Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning studyPeter Hill, Daniel Jonsson, Jakob Lederman, et al.
BMJ Open|September 11, 2024
Prehospital emergency nurses' experiences of caring for patients with suspected acute myocardial infarction: an interview studySebastian Bjöhle, Veronica Vicente, Caroline Eriksson, et al.
BMJ Open|September 26, 2019
Assessing non-conveyed patients in the ambulance service: a phenomenological interview study with Swedish ambulance cliniciansJakob Lederman, Caroline Löfvenmark, Therese Djärv, et al.
BMC Emergency Medicine|March 17, 2023
A phenomenological interview study with patients being non-conveyed in the ambulance serviceJakob Lederman, Caroline Löfvenmark, Therese Djärv, et al.
BMJ Open|July 16, 2020
Non-conveyance in the ambulance service: a population-based cohort study in Stockholm, SwedenJakob Lederman, Veronica Lindström, Carina Elmqvist, et al.
International Emergency Nursing|August 28, 2016
Patients' experience of being badly treated in the ambulance service: A qualitative study of deviation reports in SwedenMarie Ahlenius, Veronica Lindström, Veronica Vicente
IEEE Transactions on Visualization and Computer Graphics|August 12, 2016
Correlated Photon Mapping for Interactive Global Illumination of Time-Varying Volumetric DataDaniel Jonsson, Anders Ynnerman
Pageof 13