AIMC Topic: Intensive Care Units

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Using Arden Syntax Medical Logic Modules to reduce overutilization of laboratory tests for detection of bacterial infections-Success or failure?

Artificial intelligence in medicine Sep 25, 2015
OBJECTIVE: Bacterial infections frequently cause prolonged intensive care unit (ICU) stays. Repeated measurements of the procalcitonin (PCT) biomarker are typically used for early detection and follow up of bacterial infections and sepsis, but those ...
Humans Artificial Intelligence Programming Languages Expert Systems Medical Informatics Cross Infection Medical Overuse Hematologic Tests Decision Support Systems, Clinical Longitudinal Studies Procalcitonin Bacterial Infections Prospective Studies Intensive Care Units Severity of Illness Index Attitude of Health Personnel
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Improvement in the Prediction of Ventilator Weaning Outcomes by an Artificial Neural Network in a Medical ICU.

Respiratory care Sep 1, 2015
BACKGROUND: Twenty-five to 40% of patients pass a spontaneous breathing trial (SBT) but fail to wean from mechanical ventilation. There is no single appropriate and convenient predictor or method that can help clinicians to accurately predict weaning...
Aged, 80 and over Male Middle Aged Respiration, Artificial Humans Forecasting Lung Intensive Care Units Random Allocation Neural Networks, Computer ROC Curve Respiratory Function Tests Female Predictive Value of Tests Airway Extubation Aged Respiration Models, Biological Ventilator Weaning
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Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology.

TheScientificWorldJournal Aug 5, 2015
Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the assessment of cardiac function, particularly in the settings of coronary artery disease and heart failure. This study explores the use of routinely and...
Severity of Illness Index Hemodynamics Models, Theoretical Fuzzy Logic Humans Heart Failure Retrospective Studies Algorithms Patient Admission Intensive Care Units Databases, Factual Ventricular Function, Left Biomarkers Stroke Volume Prognosis
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Robotic Telepresence in a Medical Intensive Care Unit--Clinicians' Perceptions.

Perspectives in health information management Jul 1, 2015
BACKGROUND: Robotic telepresence has been used for outsourcing of healthcare services for more than a decade; however, its use within an academic medical department is not yet widespread. Intensive care unit (ICU) robots can be used to increase acces...
Pilot Projects Attitude of Health Personnel Robotics Consumer Behavior Humans Telemedicine Intensive Care Units Academic Medical Centers Cross-Sectional Studies Perception Communication
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Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.

Infection control and hospital epidemiology May 29, 2015
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark. To streamline conventional detection methods, an electronic surveillance system augmented with natural language processing (NLP), which gathers data ...
Pilot Projects Computer Systems Population Surveillance Predictive Value of Tests Humans Algorithms Intensive Care Units Electronic Health Records Urinary Tract Infections Documentation Natural Language Processing Catheter-Related Infections Catheters, Indwelling Tertiary Care Centers
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Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Apr 17, 2015
BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensive care unit (TICU) clinician teamwork (i.e., team attitudes, behaviors, and cognitions) during patient rounds.
Male Trust Middle Aged Attitude of Health Personnel Robotics Telemedicine Patient Care Team Teaching Rounds Intensive Care Units Female Adult Communication Humans
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Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.

Artificial intelligence in medicine Dec 30, 2014
INTRODUCTION: The length of stay of critically ill patients in the intensive care unit (ICU) is an indication of patient ICU resource usage and varies considerably. Planning of postoperative ICU admissions is important as ICUs often have no nonoccupi...
Datasets as Topic Organ Dysfunction Scores Belgium Humans Critical Illness Intensive Care Units Female Male Length of Stay Support Vector Machine Survival Analysis
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Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

The Lancet. Respiratory medicine Nov 24, 2014
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. Many severity scores have been proposed, but findings of validation studies have shown that they are not adequately calibrated. The Super ICU Learner A...
Boston Algorithms Intensive Care Units Female Reproducibility of Results Severity of Illness Index Hospital Mortality Humans ROC Curve Aged Machine Learning Risk Aged, 80 and over Male Middle Aged
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Mortality prediction in ICU: a methodological advance.

The Lancet. Respiratory medicine Nov 24, 2014
Humans Machine Learning Intensive Care Units Female Male Severity of Illness Index Hospital Mortality
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The effect of robotic telerounding in the surgical intensive care units impact on medical education.

Journal of robotic surgery Oct 8, 2014
Robotic telerounding is effective from the standpoint of patients' satisfaction and patients' care in teaching and community hospitals. However, the impact of robotic telerounding by the intensivist rounding remotely in the surgical intensive care un...
Treatment Outcome Robotics Education, Medical Teaching Rounds Humans Intensive Care Units Students, Medical Surveys and Questionnaires
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