AIMC Topic: Emergency Service, Hospital

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An intelligent algorithm for optimizing emergency department job and patient satisfaction.

International journal of health care quality assurance Jun 11, 2018
Purpose Resilience engineering, job satisfaction and patient satisfaction were evaluated and analyzed in one Tehran emergency department (ED) to determine ED strengths, weaknesses and opportunities to improve safety, performance, staff and patient sa...
Job Satisfaction Emergency Service, Hospital Workflow Patient Discharge Neural Networks, Computer Algorithms Decision Support Techniques Leadership Patient Admission Organizational Culture Group Processes Salaries and Fringe Benefits Iran Safety Management Patient Satisfaction Awareness Humans
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Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk Differences for Lung Cancer Mortality by Emergency Presentation.

American journal of epidemiology Apr 1, 2018
In this paper, we propose a structural framework for population-based cancer epidemiology and evaluate the performance of double-robust estimators for a binary exposure in cancer mortality. We conduct numerical analyses to study the bias and efficien...
Humans Machine Learning Female Data Interpretation, Statistical Emergency Service, Hospital Bayes Theorem Sex Factors Monte Carlo Method England Likelihood Functions Lung Neoplasms Risk Factors Epidemiologic Research Design Socioeconomic Factors Male Models, Statistical Neoplasms
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Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data.

Studies in health technology and informatics Jan 1, 2018
Emergency room(ER) visit prediction, especially whether visit ER or not and ER visit count, is crucial for hospitals to reasonably adapt resource allocation and` for patients to know future health state. Some existing studies have explored to use mac...
Emergency Service, Hospital Humans Machine Learning Electronic Health Records
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Neural networks as a tool to predict syncope risk in the Emergency Department.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Nov 1, 2017
AIMS: There is no universally accepted tool for the risk stratification of syncope patients in the Emergency Department. The aim of this study was to investigate the short-term predictive accuracy of an artificial neural network (ANN) in stratifying ...
Area Under Curve Emergency Service, Hospital Italy Syncope Electrocardiography Predictive Value of Tests Triage Cardiology Service, Hospital Aged Aged, 80 and over Adult Male Middle Aged Risk Assessment Time Factors ROC Curve Clinical Decision-Making Female Reproducibility of Results Risk Factors Decision Support Techniques Databases, Factual Prognosis Humans Neural Networks, Computer
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Assessing Risk for Future Firearms Violence in Young People Who Present to ED.

ED management : the monthly update on emergency department management Jun 1, 2017
A new clinical index tool designed specifically for the emergency environment predicts the risk for future firearms violence in young people 14-24 years of age. The approach employs a brief, 10-point instrument that can be administered in one to two ...
Firearms Humans Violence Risk Assessment Emergency Service, Hospital
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Suicide Risk Assessment in Hospitals: An Expert System-Based Triage Tool.

The Journal of clinical psychiatry Jul 1, 2016
BACKGROUND: The November 2010 Joint Commission Sentinel Event Alert on the prevention of suicides in medical/surgical units and the emergency department (ED) mandates screening every patient treated as an outpatient or admitted to the hospital for su...
Humans Surveys and Questionnaires Suicide Prevention Triage Emergency Service, Hospital Expert Systems Female Male Models, Psychological Young Adult Middle Aged Adult Risk Assessment Cross-Sectional Studies Hospitals
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Emergency Department Visit Forecasting and Dynamic Nursing Staff Allocation Using Machine Learning Techniques With Readily Available Open-Source Software.

Computers, informatics, nursing : CIN Aug 1, 2015
Although emergency department visit forecasting can be of use for nurse staff planning, previous research has focused on models that lacked sufficient resolution and realistic error metrics for these predictions to be applied in practice. Using data ...
Forecasting Models, Theoretical Emergency Service, Hospital Workforce Nursing Informatics Nursing Staff Personnel Staffing and Scheduling Humans Machine Learning Software
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Evaluation of a hospital admission prediction model adding coded chief complaint data using neural network methodology.

European journal of emergency medicine : official journal of the European Society for Emergency Medicine Apr 1, 2015
OBJECTIVE: Our objective was to apply neural network methodology to determine whether adding coded chief complaint (CCC) data to triage information would result in an improved hospital admission prediction model than one without CCC data.
Emergency Treatment Patient Admission Pennsylvania Emergency Medicine Reproducibility of Results Humans Triage Algorithms Hospitalization Male Neural Networks, Computer Area Under Curve Retrospective Studies Aged Emergency Service, Hospital Risk Assessment Female Aged, 80 and over Confidence Intervals Cohort Studies Predictive Value of Tests
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Secondary triage classification using an ensemble random forest technique.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Triage of patients in the emergency department is a complex task based on several uncertainties and ambiguous information. Triage must be implemented within two to five minutes to avoid potential fatality and increased waiting time.
Support Vector Machine Age Factors Humans Emergency Service, Hospital Reproducibility of Results Malaysia Vital Signs Triage
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