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FastMCP Supply Chain Optimizer

by ANSH-RIYAL
clinical_triage_tools.py•1.85 kB
class ClinicalTriageTools: def check_symptoms(self, symptoms: list) -> dict: """ Check symptoms against a basic medical database (simulated). Returns risk level and matched conditions. """ # Dummy logic for demonstration if 'chest pain' in symptoms or 'shortness of breath' in symptoms: return {'risk': 'HIGH', 'matched_conditions': ['cardiac event']} elif 'fever' in symptoms and 'cough' in symptoms: return {'risk': 'MEDIUM', 'matched_conditions': ['respiratory infection']} else: return {'risk': 'LOW', 'matched_conditions': []} def classify_risk(self, vitals: dict) -> dict: """ Classify patient risk level based on vitals (simulated logic). """ bp = vitals.get('bp', '120/80') hr = vitals.get('heart_rate', 70) if bp == '140/90' or hr > 100: return {'risk_level': 'MEDIUM'} elif hr > 120: return {'risk_level': 'HIGH'} else: return {'risk_level': 'LOW'} def score_triage_priority(self, risk: str, symptoms: list) -> dict: """ Score triage priority for ER based on risk and symptoms. """ if risk == 'HIGH' or 'chest pain' in symptoms: return {'priority': 'Immediate'} elif risk == 'MEDIUM': return {'priority': 'Urgent'} else: return {'priority': 'Routine'} def generate_doctor_note(self, patient_data: dict) -> dict: """ Generate a doctor note from structured patient data. """ name = patient_data.get('name', 'Patient') symptoms = ', '.join(patient_data.get('symptoms', [])) note = f"{name} presents with {symptoms}. Vitals: {patient_data.get('vitals', {})}" return {'note': note}

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