An Evidence-to-State architecture for reliable AI in Retail Pharmacy

The proposed architecture aims to resolve the operational context gap in pharmacy workflows by creating a Current Prescription Context that answers practical questions about the prescription's state. This is achieved through a Context Engine that resolves evidence over time, builds relationships among evidences, and exposes the result as a versioned contract. Read All