AIMC Topic: Intensive Care Units

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Robotic Telepresence in a Medical Intensive Care Unit--Clinicians' Perceptions.

Perspectives in health information management
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...

Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.

Infection control and hospital epidemiology
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 ...

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
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.

Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.

Artificial intelligence in medicine
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...

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study.

The Lancet. Respiratory medicine
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...

The effect of robotic telerounding in the surgical intensive care units impact on medical education.

Journal of robotic surgery
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...

Propofol-associated Hypertriglyceridemia: Development and Multicenter Validation of a Machine-Learning-Based Prediction Tool.

Journal of intensive care medicine
To develop and validate an explainable machine learning (ML) tool to help clinicians predict the risk of propofol-associated hypertriglyceridemia in critically ill patients receiving propofol sedation. Patients from 11 intensive care units (ICUs) a...

CLaI: Collaborative Learning and Inference for Low-Resolution Physiological Signals: Validation in Clinical Event Detection and Prediction.

IEEE transactions on bio-medical engineering
While machine learning (ML) techniques have been applied to detection and prediction tasks in clinical data, most methods rely on high-resolution data, which is not routinely available in most Intensive Care Units (ICUs), and perform poorly when face...