Each field you fill updates the self-learning correction model for all future cases. The more fields you fill, the faster the model converges to your patient population.
Agitation Risk — Admin Score Breakdown
Sevoflurane+2 pts
Age <50 yr+1 pt
Pain tier ≥3+1 pt
Remifentanil Ce >2 ng/mL — acute hyperalgesia (Joly 2005)+2 pts
Ketamine Ce >200 ng/mL — psychomimetic (Hijazi 2003)+2 pts
Duration <30 min+1 pt
ENT / tonsillectomy / cataract (Lepouse 2006)+1 pt
Active regional block >60% sparing-1 pt
0-2=LOW | 3-4=MODERATE | ≥5=HIGH
Joly V. Anesthesiology 2005;102:1004 · Lepouse C. Br J Anaesth 2006;96:747 · Yu D. Anesth Analg 2010;111:1167
Bayesian Corrections (live model)
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Model Accuracy Over Time
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🏆 Leaderboard — Emergence Quality Index
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EQI = composite score based on prediction accuracy, pain control, agitation rate, PACU time. Rewards clinical judgment not just case volume.
⚡ 30-Min Intraoperative Update
🤖 Simulator Suggestions:
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Prediction vs Actual — All Cases
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Per-Variable Accuracy
Bayesian Model Drift
Bland-Altman — Emergence Time
Bland JM & Altman DG. Lancet 1986;1:307
Prediction Error Distribution
EQI Trend Over Time
Case Management — Delete individual cases
Click 'Load cases' to view.
MDPE = Median prediction error · MDAPE = Median absolute performance error ·
Varvel JR et al. Anesthesiology 1992;76:67 (TCI performance metrics)