Human oversight
AI-generated outputs require pharmacist review before any recommendation is documented or used.
AI & Governance
Responsible AI Designed for Clinical Practice
AI supports clinical implementation; it does not replace clinical judgment, pharmacist accountability, or deterministic safeguards.
Deterministic clinical logic
Structured data and rule-based checks reduce reliance on free-form reasoning where deterministic handling is more appropriate.
Explainability
Recommendations should be understandable, traceable, and grounded in patient-specific inputs.
Data confidence and uncertainty
The platform is being developed to recognize missing or ambiguous information rather than overstating certainty.
Version control
Clinical logic, prompts, and documentation standards should be auditable and updated in a controlled way.
Safety-first design
The architecture prioritizes conservative escalation, clinical appropriateness, and mandatory human validation.