AI in Emergency Medicine

Triage Severity Scoring

Emergency Severity Index (ESI)

class TriageAI:
    def __init__(self):
        self.vital_thresholds = {
            'heart_rate': (50, 120), 'respiratory_rate': (10, 30),
            'systolic_bp': (90, 180), 'spo2': (92, 101)}

    def compute_acuity(self, vitals, chief_complaint):
        score = sum(2 for v, val in vitals.items()
                   if v in self.vital_thresholds and
                   (val < self.vital_thresholds[v][0] or val > self.vital_thresholds[v][1]))
        if chief_complaint in ['chest_pain', 'difficulty_breathing', 'stroke']:
            score += 3
        return min(max(score, 1), 5)

Trauma Prediction

Injury Severity Score

class TraumaPredictor:
    def predict_mortality(self, iss, age, gcs, sbp):
        risk = (min(iss/75, 1.0) * 0.3 + min(age/100, 1.0) * 0.2 +
                max(0, (14-gcs)/14) * 0.25 + max(0, (90-sbp)/90) * 0.15)
        return min(risk, 1.0)

Emergency Resource Allocation

Evaluation

• Undertriage rate < 5% for ESI 1-2
• Overtriage rate < 50% for ESI 4-5