AIMC Topic: Hospital Bed Capacity

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Role of the Health System in Combating Covid-19: Cross-Section Analysis and Artificial Neural Network Simulation for 124 Country Cases.

Social work in public health Dec 28, 2020
In the fight against Covid-19, developed countries and developing countries diverge in success. This drew attention to the discussion of how different health systems and different levels of health spending are effective in combating Covid-19. In this...
Humans Neural Networks, Computer COVID-19 Delivery of Health Care Physicians Computer Simulation SARS-CoV-2 Cross-Sectional Studies Global Health Regression Analysis Health Expenditures Life Expectancy Hospital Bed Capacity
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ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis.

Intensive care medicine Oct 8, 2019
PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU length of stay (LOS) and duration of mechanical ventilation (MV) using cluster analysis directed by machine learning.
Humans Physicians Retrospective Studies Intensive Care Units Brazil Length of Stay Nurses Time Factors Hospital Mortality Logistic Models Cluster Analysis Unsupervised Machine Learning Odds Ratio Organ Dysfunction Scores Personnel Staffing and Scheduling Physical Therapists Hospital Bed Capacity
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Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume.

Journal of medical systems May 21, 2025
The objective of this study was to develop a machine learning model utilizing data from the electronic health record (EHR) to model length of stay and daily surgical volume, in order to subsequently predict daily surgical inpatient bed utilization. M...
Humans Machine Learning Forecasting Electronic Health Records Length of Stay Bed Occupancy Hospital Bed Capacity
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Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.

Medical care Nov 1, 2020
OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers for Medicare and Medicaid's expansion of allowable secondary diagnoses in January 2011 and its association with financial penalties under the Hospita...
Humans Machine Learning Policy Severity of Illness Index United States Medicare Patient Readmission Clinical Coding Diagnosis-Related Groups Centers for Medicare and Medicaid Services, U.S. Insurance Claim Review Hospital Bed Capacity
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