Predicting Emergency Department Inpatient Admissions to Improve Same-day Patient Flow

ACADEMIC EMERGENCY MEDICINE 2012; 19:1045–1054 © 2012 by the Society for Academic Emergency Medicine Objectives: The objectives were to evaluate three models that use information gathered during triage to predict, in real time, the number of emergency department (ED) patients who subsequently will...

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Veröffentlicht in:	Academic emergency medicine 2012-09, Vol.19 (9), p.E1045-E1054
Hauptverfasser:	Peck, Jordan S., Benneyan, James C., Nightingale, Deborah J., Gaehde, Stephan A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Aged, 80 and over Bayes Theorem Bayesian analysis Boston Child Emergency medical care Emergency Medicine - organization & administration Emergency Service, Hospital - organization & administration Female Hospitalization - statistics & numerical data Humans Inpatients - statistics & numerical data Length of Stay Linear Models Male Middle Aged Patient Admission - statistics & numerical data Patient admissions Patient Transfer - organization & administration Predictive Value of Tests Probability distribution Regression analysis Total Quality Management Triage Waiting Lists Young Adult
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