AIMC Topic: Emergency Room Visits

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Deep learning modelling to forecast emergency department visits using calendar, meteorological, internet search data and stock market price.

Computer methods and programs in biomedicine Apr 24, 2025
BACKGROUND: Accurate prediction of hospital emergency department (ED) patient visits and acuity levels have potential to improve resource allocation including manpower planning and hospital bed allocation. Internet search data have been used in medic...
Humans Emergency Service, Hospital Internet Commerce Neural Networks, Computer Emergency Room Visits Forecasting Deep Learning
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Cost-Effectiveness Analysis of a Machine Learning-Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study.

JMIR formative research Apr 11, 2025
BACKGROUND: Dependent older people or those losing their autonomy are at risk of emergency hospitalization. Digital systems that monitor health remotely could be useful in reducing these visits by detecting worsening health conditions earlier. Howeve...
Humans Machine Learning Emergency Service, Hospital Telemedicine Cost-Benefit Analysis Cost-Effectiveness Analysis Emergency Room Visits France Home Care Services Retrospective Studies Aged Female Aged, 80 and over Hospitalization Male
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Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data.

PloS one Jan 30, 2025
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researche...
Hospitals, University Health Expenditures Quality Improvement Surveys and Questionnaires Triage Natural Language Processing Predictive Learning Models Emergency Room Visits Remote Consultation Patient Satisfaction Large Language Models Humans Republic of Korea
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Clinical and socioeconomic predictors of hospital use and emergency department visits among children with medical complexity: A machine learning approach using administrative data.

PloS one Oct 29, 2024
OBJECTIVES: The primary objective of this study was to identify clinical and socioeconomic predictors of hospital and ED use among children with medical complexity within 1 and 5 years of an initial discharge between 2010 and 2013. A secondary object...
Male Emergency Service, Hospital Female Infant Alberta Humans Child Length of Stay Emergency Room Visits Infant, Newborn Machine Learning Socioeconomic Factors Hospitalization Retrospective Studies Adolescent Child, Preschool
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Spatial patterns of rural opioid-related hospital emergency department visits: A machine learning analysis.

Health & place Oct 13, 2024
As opioid-related overdose emergency department visits continue to rise in the United States, there is a need to understand the location and magnitude of the crisis, especially in at-risk rural areas. We analyzed sets of ZIP code level electronic hea...
Opioid-Related Disorders Black or African American Maryland Opiate Overdose Emergency Room Visits Rural Population Emergency Service, Hospital Analgesics, Opioid Adult Female Male Middle Aged Risk Factors Humans Machine Learning
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Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure.

International journal of medical informatics Jun 30, 2024
OBJECTIVES: This study aims to evaluate the fairness performance metrics of Machine Learning (ML) models to predict hospitalization and emergency department (ED) visits in heart failure patients receiving home healthcare. We analyze biases, assess pe...
Machine Learning Female Humans Heart Failure Home Care Services Emergency Room Visits Male Middle Aged Risk Assessment Emergency Service, Hospital Hospitalization Aged Aged, 80 and over
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Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA).

Health services research Mar 30, 2024
OBJECTIVE: To improve the performance of International Classification of Disease (ICD) code rule-based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates.
Patient Acuity Sex Factors International Classification of Diseases Humans Emergency Room Visits Machine Learning United States Algorithms Age Factors Adult Emergency Service, Hospital Male Child, Preschool Female Middle Aged Child Aged Adolescent Logistic Models Young Adult
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Improving Emergency Department Visit Risk Prediction: Exploring the Operational Utility of Applied Patient Portal Messages.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Patient portal messages represent a unique source of clinical data due to how they represent the voice of the patient, provide a glimpse into care delivery between episodic synchronous appointments, and capture variations in patient behavior and heal...
Emergency Service, Hospital Patient Portals Emergency Room Visits Humans Risk Assessment Natural Language Processing
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