Intelligent Middleware for Digital Health and Biotech: A Technical Overview

Abstract

The emergence of digital health twins represents a paradigm shift in healthcare delivery, offering transformative advances in personalized medicine through virtual patient modeling. Healthcare middleware systems integrate Electronic Health Records, genomic data, and IoT devices while maintaining regulatory compliance and security standards. The integration of artificial intelligence, federated learning, and blockchain technologies enables sophisticated clinical decision support, predictive analytics, and secure data sharing across healthcare networks. Advanced orchestration engines facilitate seamless communication between diverse healthcare systems, supporting real-time patient monitoring and adaptive clinical trials. By addressing technical challenges in data harmonization, system scalability, and privacy preservation, modern middleware architectures are revolutionizing healthcare delivery and patient outcomes.