Using hub technology to facilitate information system integration in a health-care enterprise

Area of Science:

• Health Informatics
• Clinical Information Systems
• Healthcare Enterprise Integration

Background:

• Maintaining numerous point-to-point interfaces between clinical information systems (e.g., laboratory information systems) and other healthcare enterprise systems is costly and time-intensive.
• Increasing healthcare consolidation and the development of regional laboratory networks necessitate more efficient interface solutions.
• The demand for robust interfaces is growing due to laboratory outreach programs and host-to-host connections with external clients.

Purpose of the Study:

• To evaluate the advantages and disadvantages of employing an interface engine as a centralized solution for healthcare system integration.
• To explore the capabilities of interface engines in facilitating clinical data repositories and enhancing system flexibility.
• To present developmental experiences and benefits of implementing an interface engine in a major medical center.

Main Methods:

• Described the concept and functionality of an interface engine as a hub-and-spoke model for system integration.
• Discussed the impact of interface engines on system maintenance, data dictionary management, and vendor-supported interfaces.
• Highlighted features such as structured query language support and information store-and-forward capabilities.
• Presented case study findings from the University of Michigan Medical Center's interface engine implementation.

Main Results:

• Interface engines can replace multiple point-to-point interfaces with a single, HL7-based connection to a central hub.
• Implementation simplifies system updates, requiring only data dictionary changes and hub parameter adjustments.
• Features like SQL support and store-and-forward enhance clinical data repository development and system interaction flexibility.
• The University of Michigan Medical Center project demonstrated significant benefits in system integration and promoted HL7 standard adoption.

Conclusions:

• Interface engines offer a cost-effective and efficient alternative to traditional point-to-point interfaces in healthcare settings.
• This technology simplifies the management of complex healthcare information systems and promotes standardization, particularly with HL7.
• Further adoption of interface engines can significantly improve data flow and integration within healthcare enterprises.