Event-Driven iPaaS Architectures for Real-Time Healthcare Data Synchronization Across Enterprise Systems

Healthcare enterprises operate in an environment where the timely and reliable exchange of information between heterogeneous systems is crucial for achieving both clinical and operational excellence. Traditional integration approaches, such as batch-oriented extract–transform–load pipelines and tightly coupled point-to-point HL7 v2 interfaces, are increasingly inadequate for modern requirements. These methods introduce significant latency, increase the risk of data drift, and limit scalability, ultimately constraining real-time decision-making and the delivery of coordinated care. In an era where workflows such as automated prior authorization, clinical decision support, remote patient monitoring, and population health surveillance require immediate access to accurate data, there is a pressing need for integration paradigms that enable low-latency, event-driven synchronization across multiple enterprise systems.