Healthcare Intelligence Platform: Medication Intelligence Data Mart Architecture

This technical documentation establishes the conceptual and logical architecture framework for the Medication Intelligence Data Mart within the Healthcare Intelligence Platform (aligned under the broader master reference infrastructure of DOI: 10.5281/zenodo.22255118). Functioning as a specialized, decoupled analytical repository, this volume provides the structural blueprints needed to transform disjointed transactional pharmacy streams into decision-ready enterprise intelligence assets. Authored and architected by Chotika Ruangjun, this reference model is designed strictly at the vendor-neutral Logical Layer. To ensure absolute platform security and corporate data confidentiality, the specification contains zero live physical database schemas, proprietary scoring logics, or backend server source codes. Key Architectural Portfolios Contained in This Specification: 1. SUBJECT-ORIENTED ANALYTICAL SCOPE: Defines a comprehensive integration framework designed to scale dynamically from chronic illness prescriptions to complex, high-burden multi-modal cancer regimens, hospital dispensaries, and specialized outpatient care models. It organizes drug properties across strict regulatory, therapeutic, and pharmacological classification blocks. 2. MULTI-DOMAIN INTELLIGENCE BRIDGING: Formulates cross-domain logical relationship pathways that interconnect clinical indicators (diagnoses and laboratory outcome milestones) directly with operational logistics (dispensing tracking, medication safety, and warehouse inventory statuses), financial transactions (claims logistics and payer approval limits), and standardized enterprise dimensions. 3. TEMPORAL MANAGEMENT ENGINE: Implements a strict Slowly Changing Dimension (SCD) Type 2 tracking strategy to capture dynamic changes throughout long-term patient therapy lifecycles. By tracking milestone events such as dose adjustments, therapy escalations, or medication switching patterns through auditable chronological controls, the model preserves historical lineage to empower trusted Real-World Evidence (RWE) creation. 4. INTAKE PROCESSING & REFERENCE INTEROPERABILITY: Sets the operational intake and transformation validation boundaries required to standardize data formats arriving from heterogeneous source environments. It implements centralized multi-terminology alignment maps supporting Thailand Medicines Terminology (TMT) and the Anatomical Therapeutic Chemical (ATC) classification system without disrupting baseline business navigation paths. By breaking away from transactional database reporting, this guide provides the clean, temporal feature engineering store inputs and curated analytical views required to power advanced forecasting models (stockout risks and resource demand planning) and optimize hallucination-free Enterprise LLMs and Retrieval-Augmented Generation (RAG) knowledge infrastructures.