AIMC Topic: Transportation of Patients

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A Machine Learning Trauma Triage Model for Critical Care Transport.

JAMA network open Jun 2, 2025
IMPORTANCE: Under austere prehospital conditions, rapid classification of injured patients for intervention or transport is essential for providing lifesaving care. Discerning which patients need care most urgently further allows for optimal allocati...
Middle Aged Emergency Medical Services Adult Male Wounds and Injuries Pennsylvania Transportation of Patients Triage Critical Care Humans Retrospective Studies Female Machine Learning
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Predictive modelling of transport decisions and resources optimisation in pre-hospital setting using machine learning techniques.

PloS one May 3, 2024
BACKGROUND: The global evolution of pre-hospital care systems faces dynamic challenges, particularly in multinational settings. Machine learning (ML) techniques enable the exploration of deeply embedded data patterns for improved patient care and res...
Middle Aged Adolescent Emergency Medical Services Transportation of Patients Support Vector Machine Adult Male Aged Young Adult Humans Algorithms Female Machine Learning
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Enhancing Patient Safety in Prehospital Environment: Analyzing Patient Perspectives on Non-Transport Decisions With Natural Language Processing and Machine Learning.

Journal of patient safety Mar 23, 2024
OBJECTIVE: This research explored the experiences and perspectives of patients declining hospital transportation after receiving prehospital emergency care using advanced computational techniques.
Patient Safety Female Humans Machine Learning Male Middle Aged Emergency Medical Services Young Adult Adult Transportation of Patients Patient Satisfaction Qatar Natural Language Processing Bayes Theorem
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Design and Evaluation of a Motorized Robotic Bed Mover With Omnidirectional Mobility for Patient Transportation.

IEEE journal of biomedical and health informatics Jun 21, 2018
Patient transportation in hospitals faces many challenges, including the limited manpower, work-related injuries, and low efficiency of current bed pushing methods. This paper presents a new motorized robotic bed mover with omnidirectional mobility t...
Adult Male Female Equipment Design Transportation of Patients Young Adult Signal Processing, Computer-Assisted Humans Robotics Man-Machine Systems Electromyography Beds Task Performance and Analysis
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An Intelligent Robotic Hospital Bed for Safe Transportation of Critical Neurosurgery Patients Along Crowded Hospital Corridors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 15, 2014
We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous navigation ability. The robotic bed is developed for fast and safe transportation of critical neurosurgery patients without changing beds. Flexbed is mor...
Equipment and Supplies, Hospital Neurosurgery Equipment Design Machine Learning Beds Critical Care Transportation of Patients Equipment Failure Analysis Robotics Moving and Lifting Patients
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Machine learning and new vital signs monitoring in civilian en route care: A systematic review of the literature and future implications for the military.

The journal of trauma and acute care surgery Nov 1, 2016
BACKGROUND: Although air transport medical services are today an integral part of trauma systems in most developed countries, to date, there are no reviews on recent innovations in civilian en route care. The purpose of this systematic review was to ...
Humans Transportation of Patients Machine Learning Emergency Medical Services Air Ambulances Software Vital Signs Monitoring, Physiologic
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