AIMC Topic: Patient Admission

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Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Scientific reports Jul 1, 2025
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respiratory diseases. We used an archive of COVID-19 data in Colorado from October 2020 to March 2024 to reconstruct seven real-time surveillance indicators...
Public Health Public Health Surveillance Emergency Service, Hospital Patient Admission Colorado Humans COVID-19 SARS-CoV-2 Hospitalization
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Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma.

European journal of medical research Apr 15, 2025
BACKGROUND: There is no standard practice for intensive care admission after non-small cell lung cancer surgery. In this study, we aimed to determine the need for intensive care admission after non-small cell lung cancer surgery with deep learning mo...
Middle Aged Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Postoperative Care Intensive Care Units Female Humans Aged Male Neural Networks, Computer Artificial Intelligence Algorithms Retrospective Studies Patient Admission
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Development and validation of interpretable machine learning models for triage patients admitted to the intensive care unit.

PloS one Feb 18, 2025
OBJECTIVES: Developing and validating interpretable machine learning (ML) models for predicting whether triaged patients need to be admitted to the intensive care unit (ICU).
Adult Male Middle Aged ROC Curve Triage Area Under Curve Bayes Theorem Patient Admission Machine Learning Algorithms Intensive Care Units Female Aged Humans
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Predicting 28-day all-cause mortality in patients admitted to intensive care units with pre-existing chronic heart failure using the stress hyperglycemia ratio: a machine learning-driven retrospective cohort analysis.

Cardiovascular diabetology Jan 8, 2025
Chronic heart failure (CHF) poses a significant threat to human health. The stress hyperglycemia ratio (SHR) is a novel metric for accurately assessing stress hyperglycemia, which has been correlated with adverse outcomes in various major diseases. H...
Prognosis Retrospective Studies Intensive Care Units Female Risk Factors Machine Learning Decision Support Techniques Databases, Factual Biomarkers Blood Glucose Time Factors Hyperglycemia Chronic Disease Predictive Value of Tests Aged Aged, 80 and over Male Middle Aged Risk Assessment Humans Cause of Death Heart Failure Patient Admission
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Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study.

BMC emergency medicine Jan 6, 2025
INTRODUCTION: Overcrowding in emergency departments (ED) is a major public health issue, leading to increased workload and exhaustion for the teams, resulting poor outcomes. It seems interesting to be able to predict the admissions of patients in the...
Middle Aged Emergency Service, Hospital Machine Learning France Humans Algorithms Patient Admission Retrospective Studies Crowding Female Male
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Early prediction of intensive care unit admission in emergency department patients using machine learning.

Australian critical care : official journal of the Confederation of Australian Critical Care Nurses Dec 5, 2024
BACKGROUND: The timely identification and transfer of critically ill patients from the emergency department (ED) to the intensive care unit (ICU) is important for patient care and ED workflow practices.
Humans Machine Learning Retrospective Studies Critical Illness Intensive Care Units Electronic Health Records Female Aged Adult Male Patient Admission Middle Aged Triage Emergency Service, Hospital
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Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions.

BMJ health & care informatics Dec 4, 2024
OBJECTIVES: Increasing operational pressures on emergency departments (ED) make it imperative to quickly and accurately identify patients requiring urgent clinical intervention. The widespread adoption of electronic health records (EHR) makes rich fe...
Patient Admission Early Warning Score Clinical Deterioration Female Aged Adult Male Middle Aged Risk Assessment Humans Hospital Mortality Machine Learning Triage Retrospective Studies Emergency Service, Hospital Electronic Health Records United Kingdom
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Hospital Length of Stay Prediction for Planned Admissions Using Observational Medical Outcomes Partnership Common Data Model: Retrospective Study.

Journal of medical Internet research Nov 22, 2024
BACKGROUND: Accurate hospital length of stay (LoS) prediction enables efficient resource management. Conventional LoS prediction models with limited covariates and nonstandardized data have limited reproducibility when applied to the general populati...
Patient Admission Adult Male Middle Aged Length of Stay Humans Republic of Korea ROC Curve Machine Learning Female Retrospective Studies Hospitalization Electronic Health Records Aged
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Predicting paediatric asthma exacerbations with machine learning: a systematic review with meta-analysis.

European respiratory review : an official journal of the European Respiratory Society Nov 13, 2024
BACKGROUND: Asthma exacerbations in children pose a significant burden on healthcare systems and families. While traditional risk assessment tools exist, artificial intelligence (AI) offers the potential for enhanced prediction models.
Asthma Male Risk Assessment Humans Patient Admission Machine Learning Disease Progression Child, Preschool Prognosis Decision Support Techniques Adolescent Child Female Age Factors Risk Factors Predictive Value of Tests Hospitalization Emergency Service, Hospital
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Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations.

International journal of mental health nursing Aug 29, 2024
This research addresses the critical issue of identifying factors contributing to admissions to acute mental health (MH) wards for individuals presenting to the emergency department (ED) with MH concerns as their primary issue, notably suicidality. T...
Adolescent Aged Suicidal Ideation Young Adult Adult Humans Psychiatric Department, Hospital Triage Machine Learning Patient Admission Emergency Service, Hospital Male Mental Disorders Middle Aged Female
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