AI-Driven Interoperability: FHIR and Beyond in Industry-Specific Integration

Abstract

Artificial intelligence is transforming enterprise integration across multiple sectors, creating unprecedented opportunities for operational efficiency and business agility. In healthcare, AI-enhanced FHIR implementations are revolutionizing interoperability by intelligently mapping clinical terminologies and standardizing patient data, enabling seamless information exchange while maintaining regulatory compliance. Beyond healthcare, intelligent data mapping capabilities leverage natural language processing to discover semantic relationships between schemas, while self-learning engines continuously refine transformations through feedback loops. The retail sector benefits from AI-driven platforms that unite point-of-sale, inventory, and marketing systems to deliver personalized experiences and accurate demand forecasting. Manufacturing operations achieve enhanced efficiency through smart connectors that predict maintenance needs and optimize production workflows. Across all industries, regulatory compliance automation substantially reduces administrative burdens through intelligent monitoring and policy enforcement. These transformative capabilities require thoughtful architectural consideration, balancing edge computing for real-time processing with centralized intelligence for cross-domain optimization, creating resilient integration ecosystems that evolve with changing business requirements.