Hospital Readmission Prediction

Hospital Readmission Models

30-Day Readmission Risk

LACE Score

class ReadmissionPredictor:
    def __init__(self):
        self.feature_importance = {
            'los': 0.15, 'charlson': 0.20, 'ed_visits': 0.18,
            'discharge_disposition': 0.12, 'age': 0.10,
            'admission_type': 0.08, 'comorbidities': 0.17
        }

    def predict_risk(self, patient_data):
        risk = 0
        risk += min(patient_data['los'] / 14, 1.0) * self.feature_importance['los']
        risk += min(patient_data['charlson'] / 10, 1.0) * self.feature_importance['charlson']
        risk += min(patient_data['ed_visits'] / 10, 1.0) * self.feature_importance['ed_visits']
        return min(risk, 1.0)

Discharge Planning

Risk-Stratified Interventions

Social Determinants

SDOH Features

• Housing instability: Eviction risk, homelessness
• Food insecurity: Access to nutritious food
• Transportation barriers: Distance to clinic
• Social isolation: Lack of support network
• Health literacy: Understanding of discharge instructions