Study title: Implementation of an automated early warning scoring system in a surgical ward: practical use and effects on patient outcomes.
Authors: Eveline Mestrom, Ashley De Bie, Melissa van de Steeg, Merel Driessen, Louis Atallah, Rick Bezemer, R. Arthur Bouwman, Erik Korsten
Date: 2019

Column: 
A: ID = study identification number
B: Group (0=control, 1=intervention)
C:Gender (0=male, 1=female)
D:Age
E:Hospital_mortality
F:28days_mortality
G:APACHE2 = Acute Physiology, Age, Chronic Health Evaluation: severity-of-disease classification system
H:SAPS2 = Simplified Acute Physiology Score
I:APACHE4 = Acute Physiology, Age, Chronic Health Evaluation: severity-of-disease classification system
J:Type_surgery (1=oncology, 2=vascular, 3=benign abdominal)
K: Elective or Acute surgery (1=elective, 2=acute)
L:Number of readmissions
M:Readmission (0=no, 1=yes)
N:Vasopressor_ICU (0=no, 1=yes)
O:Ventilation_ICU (0=no, 1=yes)
P:Arterial_line_ICU (0=no, 1=yes)
Q:Hospital_length_of_stay
R:ICU1_LOS= length of stay during first ICU admission
S:ACH1_LOS_days = length of stay during first surgery admission after first ICU admission
T:ICU2_LOS_days = length of stay during second ICU admission (readmission)
U:APACHE2_ICU2 = APACHE2 score during second ICU admission (readmission)
V:SAPS2_ICU2 = SAPS2 score during second ICU admission (readmission)
W:APACHE4_ICU2 = APACHE4 score during second ICU admission (readmission)
X: Number of measurements EMR
Y:Number of measurements automated EWS system
Z:Match between EMR and automated EWS systems=the number of measurements which are both in EMR and automated EWS systems
AA:Percentage matching measurements