OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predict severe sepsis and septic shock (Early Warning System 2.0).
Studies in health technology and informatics
Jan 1, 2018
A dissertation project at the Witten/Herdecke University [1] is investigating which (nursing sensitive) patient characteristics are suitable for predicting a higher or lower degree of nursing workload. For this research project four predictive modell...
Crew resource management (CRM) has been used for more than 20 years in the aviation industry to teach individual error countermeasures by developing nontechnical (ie, cognitive, social) skills based on the observed traits of successful individuals an...
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