From: Development of a machine learning-based acuity score prediction model for virtual care settings
Demographics | SJHH | SHSC | WOHS | Total |
---|---|---|---|---|
Total Records, n | 199,988 | 125,543 | 2,134,578 | 2,460,109 |
Men, n (%) | 92,303 (46.2%) | 56,234 (44.8%) | 1,020,579 (47.8%) | 1,169,116 (47.5%) |
Women, n (%) | 107,685 (53.8%) | 69,309 (55.2%) | 1,113,999 (52.2%) | 1,290,993 (52.5%) |
CTAS 1, n (%) | 1514 (0.8%) | 1084 (0.9%) | 6209 (0.3%) | 8807 (0.4%) |
CTAS 2, n (%) | 60,343 (30.2%) | 30,347 (24.2%) | 575,056 (26.9%) | 665,746 (27.1%) |
CTAS 3, n (%) | 111,084 (55.5%) | 72,704 (57.9%) | 1,183,646 (55.5%) | 1,367,434 (55.6%) |
CTAS 4, n (%) | 17,957 (9.0%) | 19,923 (15.9%) | 310,407 (14.5%) | 348,287 (14.2%) |
CTAS 5, n (%) | 7846 (3.9%) | 1485 (1.2%) | 59,252 (2.8%) | 68,583 (2.8%) |
Missing CTAS, n (%) | 1244 (0.6%) | 0 (0%) | 8 (0%) | 1252 (0%) |