AIMC Topic: Emergency Service, Hospital

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Emergency Department Capacity Planning: A Recurrent Neural Network and Simulation Approach.

Computational and mathematical methods in medicine Nov 15, 2019
Emergency departments (EDs) play a vital role in the whole healthcare system as they are the first point of care in hospitals for urgent and critically ill patients. Therefore, effective management of hospital's ED is crucial in improving the quality...
Time Factors Algorithms Humans Hospital Administration Computer Simulation Neural Networks, Computer Emergency Treatment Emergency Service, Hospital Reproducibility of Results Machine Learning Bed Occupancy Turkey Length of Stay Climate
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A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score.

Journal of general internal medicine Nov 1, 2019
BACKGROUND: Emergency departments (ED) are becoming increasingly overwhelmed, increasing poor outcomes. Triage scores aim to optimize the waiting time and prioritize the resource usage. Artificial intelligence (AI) algorithms offer advantages for cre...
Artificial Intelligence Machine Learning Retrospective Studies Aged Humans Adolescent Hospital Mortality Triage Aged, 80 and over Emergency Service, Hospital Young Adult Adult Middle Aged
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Machine learning for prediction of septic shock at initial triage in emergency department.

Journal of critical care Oct 22, 2019
BACKGROUND: We hypothesized utilizing machine learning (ML) algorithms for screening septic shock in ED would provide better accuracy than qSOFA or MEWS.
Area Under Curve Emergency Service, Hospital Multivariate Analysis Vital Signs Hospital Mortality Shock, Septic Support Vector Machine Triage Male Middle Aged Sepsis Algorithms Prognosis Electronic Health Records Female Humans Republic of Korea Aged Machine Learning Young Adult Software Adult
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Deep Learning for Chest Radiography in the Emergency Department.

Radiology Oct 22, 2019
Deep Learning Radiography Emergency Service, Hospital Thorax
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Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.

Radiology Oct 22, 2019
BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical situations, before its clinical implementation.PurposeTo evaluate the performance of a DL algorithm for identifying chest radiographs with clinically r...
Adult Sensitivity and Specificity Male Middle Aged Humans Retrospective Studies Female Aged Radiography, Thoracic Deep Learning Clinical Competence Diagnosis, Differential Emergency Service, Hospital
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Promoting head CT exams in the emergency department triage using a machine learning model.

Neuroradiology Oct 10, 2019
PURPOSE: In this study, we aimed to develop a novel prediction model to identify patients in need of a non-contrast head CT exam during emergency department (ED) triage.
Humans Machine Learning Tomography, X-Ray Computed Triage Emergency Service, Hospital Head Adult Sensitivity and Specificity Female Male Aged Middle Aged Aged, 80 and over
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Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review.

Journal of neurointerventional surgery Oct 8, 2019
BACKGROUND AND PURPOSE: Acute stroke caused by large vessel occlusions (LVOs) requires emergent detection and treatment by endovascular thrombectomy. However, radiologic LVO detection and treatment is subject to variable delays and human expertise, r...
Brain Ischemia Thrombectomy Arterial Occlusive Diseases Humans Artificial Intelligence Triage Emergency Service, Hospital Stroke
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Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

International journal of medical informatics Sep 27, 2019
OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user interfaces on the efficiency and quality of documentation of presenting problems (chief complaints) in the emergency department (ED).
Humans Forms and Records Control Depressive Disorder, Major Algorithms Machine Learning Case-Control Studies Emergency Service, Hospital Retrospective Studies User-Computer Interface Quality Improvement Female Decision Support Systems, Clinical Documentation Male
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Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Sep 25, 2019
BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate the risk of ...
Female Aged Aged, 80 and over Adult Male Middle Aged Hemostatic Techniques Blood Transfusion Risk Assessment Humans Emergency Service, Hospital ROC Curve Machine Learning Models, Biological Prognosis Gastrointestinal Hemorrhage
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CCMapper: An adaptive NLP-based free-text chief complaint mapping algorithm.

Computers in biology and medicine Aug 21, 2019
OBJECTIVE: Chief complaint (CC) is among the earliest health information recorded at the beginning of a patient's visit to an emergency department (ED). We propose a heuristic methodology for automatically mapping the free-text data into a structured...
Emergency Service, Hospital Health Records, Personal Humans Algorithms Electronic Health Records Hospitalization Natural Language Processing
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