AIMC Topic: Patient Transfer

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Influence of the CONCERN Early Warning System on Unanticipated ICU Transfers, In-Hospital Mortality, and Length of Stay: Results from a Multi-site Pragmatic Randomized Controlled Clinical Trial.

AMIA ... Annual Symposium proceedings. AMIA Symposium May 22, 2025
Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-learning predictive model that leverages nursing surveillance documentation patterns to predict deterioration risks for hospitalized patients. In a retros...
Humans Machine Learning Retrospective Studies Intensive Care Units Length of Stay Hospital Mortality Patient Transfer Early Warning Score Female Aged Male Middle Aged
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Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 6, 2025
OBJECTIVES: To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART), a machine learning (ML) model to predict the risk of the direct ward to the ICU transfer within 12 hours, and the associated improved outcomes among...
Triage Patient Transfer Early Warning Score Female Infant, Newborn Male Infant Risk Assessment Respiration, Artificial Adolescent Humans Machine Learning Child, Preschool Child Hospital Mortality Intensive Care Units, Pediatric
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Motion Analysis and Tactile-Based Impedance Control of the Chest Holder of a Piggyback Patient Transfer Robot.

Journal of healthcare engineering Jul 19, 2021
Patient transfer, such as carrying a bedridden patient from a bed to a pedestal pan or a wheelchair and back, is one of the most physically challenging tasks in nursing care facilities. To reduce the intensity of physical labor on nurses or caregiver...
Robotics Motion Electric Impedance Patient Transfer Humans Female Male Wheelchairs
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Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography.

Scandinavian journal of trauma, resuscitation and emergency medicine Oct 6, 2020
BACKGROUND: In-hospital cardiac arrest is a major burden in health care. Although several track-and-trigger systems are used to predict cardiac arrest, they often have unsatisfactory performances. We hypothesized that a deep-learning-based artificial...
Middle Aged Deep Learning Electrocardiography Patient Transfer Hospitalization Aged Male Heart Arrest Humans Algorithms Retrospective Studies Intensive Care Units Female
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Mixed-integer optimization approach to learning association rules for unplanned ICU transfer.

Artificial intelligence in medicine Jan 30, 2020
After admission to emergency department (ED), patients with critical illnesses are transferred to intensive care unit (ICU) due to unexpected clinical deterioration occurrence. Identifying such unplanned ICU transfers is urgently needed for medical p...
Patient Transfer Hospitals, Teaching Models, Theoretical Age Factors Emergency Service, Hospital Quality Improvement Severity of Illness Index Time Factors Logistic Models Humans Machine Learning Critical Illness Intensive Care Units
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Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Apr 2, 2019
PURPOSE: An excessive amount of total hospitalization is caused by delays due to patients waiting to be placed in a rehabilitation facility or skilled nursing facility (RF/SNF). An accurate preoperative prediction of who would need a RF/SNF place aft...
Neural Networks, Computer Quality Improvement Humans Female Patient Transfer Lumbar Vertebrae Machine Learning Aged Predictive Value of Tests Rehabilitation Centers Patient Discharge Algorithms Male Postoperative Care Spinal Stenosis Middle Aged Skilled Nursing Facilities Elective Surgical Procedures Netherlands
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An ensemble boosting model for predicting transfer to the pediatric intensive care unit.

International journal of medical informatics Jan 9, 2018
BACKGROUND: Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the...
Health Services Needs and Demand Patient Transfer Humans Child, Hospitalized Female Intensive Care Units, Pediatric Male ROC Curve Artificial Intelligence Severity of Illness Index Models, Statistical Machine Learning Child Algorithms Retrospective Studies
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Advanced patient transfer assist device with intuitive interaction control.

Assistive technology : the official journal of RESNA Nov 29, 2017
This research aims to improve patient transfers by developing a new type of advanced robotic assist device. It has multiple actuated degrees of freedom and a powered steerable base to maximize maneuverability around obstacles. An intuitive interface ...
Patient Transfer Wheelchairs Self-Help Devices Humans Robotics Caregivers
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Interhospital Transfer of Children in Septic Shock: A Clinician Interview Qualitative Study.

Journal of intensive care medicine Dec 14, 2016
OBJECTIVE:: To determine the factors that influence the decision to transfer children in septic shock from level II to level I pediatric intensive care unit (PICU) care.
Shock, Septic Catheterization, Central Venous Humans Extracorporeal Membrane Oxygenation Fluid Therapy Male Combined Modality Therapy Qualitative Research Renal Replacement Therapy Vasoconstrictor Agents Adolescent Clinical Decision-Making Intensive Care Units, Pediatric Patient Transfer
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