AIMC Topic: Early Warning Score
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Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory.
Journal of assisted reproduction and genetics
Apr 27, 2021
Staff competency is a crucial component of the in vitro fertilization (IVF) laboratory quality management system because it impacts clinical outcomes and informs the key performance indicators (KPIs) used to continuously monitor and assess culture co...
A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation.
Journal of medical Internet research
Feb 10, 2021
BACKGROUND: Predicting early respiratory failure due to COVID-19 can help triage patients to higher levels of care, allocate scarce resources, and reduce morbidity and mortality by appropriately monitoring and treating the patients at greatest risk f...
Respiratory Insufficiency
Patient Admission
Intubation, Intratracheal
Early Warning Score
Clinical Decision Rules
ROC Curve
Logistic Models
Triage
Emergency Service, Hospital
Male
Middle Aged
Respiration, Artificial
Humans
Hospitals
Machine Learning
COVID-19
Retrospective Studies
Female
SARS-CoV-2
Hospitalization
Aged
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study.
JMIR public health and surveillance
Oct 22, 2020
BACKGROUND: Racial disparities in health care are well documented in the United States. As machine learning methods become more common in health care settings, it is important to ensure that these methods do not contribute to racial disparities throu...
Comparing the predictive ability of a commercial artificial intelligence early warning system with physician judgement for clinical deterioration in hospitalised general internal medicine patients: a prospective observational study.
BMJ open
Oct 10, 2019
OBJECTIVE: Our study compares physician judgement with an automated early warning system (EWS) for predicting clinical deterioration of hospitalised general internal medicine patients.
Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data.
Acta psychiatrica Scandinavica
Jul 6, 2019
OBJECTIVE: Mechanical restraint (MR) is used to prevent patients from harming themselves or others during inpatient treatment. The objective of this study was to investigate whether incident MR occurring in the first 3 days following admission could ...
A fuzzy logic-based warning system for patients classification.
Health informatics journal
Nov 6, 2017
Typically acute deterioration in sick people is preceded by subtle changes in the physiological parameters such as pulse and blood pressure. The Modified Early Warning Score is a scoring system developed to assist hospital staff in gauging these phys...
Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.
Scientific reports
Jul 2, 2025
This study aimed to develop and validate a transformer-based early warning score (TEWS) system for predicting adverse events (AEs) in the emergency department (ED). We conducted a retrospective study analyzing adult ED visits at a tertiary hospital. ...
Evaluating the National Early Warning Score (NEWS) in triage: A machine learning perspective.
International emergency nursing
Jun 1, 2025
BACKGROUND: The National Early Warning Score is widely used in Emergency Departments for triage, primarily to predict mortality. However, its effectiveness in assessing additional clinical outcomes relevant to triage, such as patient urgency and seve...
Clinician perspectives on how situational context and augmented intelligence design features impact perceived usefulness of sepsis prediction scores embedded within a simulated electronic health record.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVE: Obtain clinicians' perspectives on early warning scores (EWS) use within context of clinical cases.
Effectiveness of an Artificial Intelligence-Enabled Intervention for Detecting Clinical Deterioration.
JAMA internal medicine
May 1, 2024
IMPORTANCE: Inpatient clinical deterioration is associated with substantial morbidity and mortality but may be easily missed by clinicians. Early warning scores have been developed to alert clinicians to patients at high risk of clinical deterioratio...
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