AIMC Topic: Hospital Rapid Response Team

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Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial.

Critical care medicine Feb 21, 2024
OBJECTIVES: Machine learning algorithms can outperform older methods in predicting clinical deterioration, but rigorous prospective data on their real-world efficacy are limited. We hypothesized that real-time machine learning generated alerts sent d...
Machine Learning Prospective Studies Humans Male Middle Aged Female Aged Clinical Deterioration Hospital Rapid Response Team Hospital Mortality
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Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event.

Applied clinical informatics Dec 18, 2019
BACKGROUND: In the hospital setting, it is crucial to identify patients at risk for deterioration before it fully develops, so providers can respond rapidly to reverse the deterioration. Rapid response (RR) activation criteria include a subjective co...
Hospitalization Survival Analysis Risk Assessment Documentation Humans Hospital Rapid Response Team Unsupervised Machine Learning Nurses Data Mining
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Deep neural network improves fracture detection by clinicians.

Proceedings of the National Academy of Sciences of the United States of America Oct 22, 2018
Suspected fractures are among the most common reasons for patients to visit emergency departments (EDs), and X-ray imaging is the primary diagnostic tool used by clinicians to assess patients for fractures. Missing a fracture in a radiograph often ha...
Image Interpretation, Computer-Assisted Emergency Medicine Diagnostic Errors Wrist Hospital Rapid Response Team Deep Learning Neural Networks, Computer Humans Sensitivity and Specificity Fractures, Bone Radiography
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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...
Humans Artificial Intelligence Intensive Care Units Male Female Middle Aged Hospitalization Aged Clinical Deterioration Cohort Studies Hospital Rapid Response Team Early Warning Score
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Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System.

Critical care medicine Apr 1, 2020
OBJECTIVES: As the performance of a conventional track and trigger system in a rapid response system has been unsatisfactory, we developed and implemented an artificial intelligence for predicting in-hospital cardiac arrest, denoted the deep learning...
Vital Signs Heart Arrest Clinical Deterioration Hospital Rapid Response Team Risk Assessment ROC Curve Middle Aged Humans Critical Illness Female Artificial Intelligence Algorithms Adult Retrospective Studies Male
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