Research on Medical Multi-Source Data Fusion Based on Big Data

Objectives: The uniform data standard system is built to realize the interconnection between the heterogeneous information systems in hospitals and to solve the problem of data island. Methods: The establishment of the integration platform is started from the aspects such as the establishment of integration platform model, design of platform architecture and data interaction process, promotion of standardization of the data format and prime index construction for patients. Results: The ESB (Enterprise Service Bus) and the SOA (Service Oriented Architecture) are used to achieve the medical multi-source data fusion through the integration platform with two interface methods of MQ (Message Queue) and Web Service. Conclusion: The intelligent decision support system established on the integration platform is used to provide powerful data support to improve data utilization, regulate medical behaviors, advance medical quality and enhance management efficiency.