ai-response-validator / knowledge /pharma /term-catalog.yaml
mbochniak01
Add full RAG evaluation pipeline with L1 metrics and UI
ebe934f
# Pharma domain — client-specific terminology map
# canonical term -> how each client calls it
# This is what chain_terminology metric validates against
clients:
clinixone:
display_name: "ClinixOne"
terms:
DRUG_APPROVAL: "prior authorization"
DRUG_NAME: "generic name"
ADVERSE_EVENT: "adverse event"
DRUG_INTERACTION: "contraindication"
TREATMENT_PROTOCOL: "clinical guideline"
FORMULARY_STATUS: "coverage tier"
DOSAGE_ADJUSTMENT: "dose modification"
SAFETY_SIGNAL: "safety signal"
PATIENT_CONSENT: "informed consent"
CLINICAL_TRIAL: "study enrollment"
pharmalink:
display_name: "PharmaLink"
terms:
DRUG_APPROVAL: "formulary pre-approval"
DRUG_NAME: "brand name"
ADVERSE_EVENT: "safety signal"
DRUG_INTERACTION: "drug-drug interaction"
TREATMENT_PROTOCOL: "prescribing pathway"
FORMULARY_STATUS: "benefit tier"
DOSAGE_ADJUSTMENT: "titration step"
SAFETY_SIGNAL: "pharmacovigilance alert"
PATIENT_CONSENT: "enrollment authorization"
CLINICAL_TRIAL: "investigational program"