Experiences with an interoperable data acquisition platform for multi-centric research networks based on HL7 CDA.

Area of Science:

• Medical Informatics
• Rare Disease Research
• Telemedicine

Background:

• Epidermolysis Bullosa (EB) is a rare genetic connective tissue disorder.
• Managing rare diseases requires robust data collection and sharing infrastructure.
• Multi-centric research networks are crucial for rare disease studies.

Purpose of the Study:

• To integrate a remote data entry (RDE) module into a web-based telemedicine system.
• To enhance data management for a German research network focused on Epidermolysis Bullosa.
• To ensure long-term data accessibility and interoperability.

Main Methods:

• Development and integration of a remote data entry module.
• Utilization of a web-based telemedicine platform.
• Implementation of data storage using XML and HL7 Clinical Document Architecture (CDA) standards.

Main Results:

• Successful integration of the RDE module within the telemedicine system.
• Structured data storage achieved using XML and HL7 CDA.
• Demonstrated long-term data accessibility and high-level interoperability.

Conclusions:

• The integrated RDE module is effective for rare disease research data management.
• Standardized data formats (XML, HL7 CDA) are key for interoperability in telemedicine.
• This approach supports multi-centric research networks for rare diseases like Epidermolysis Bullosa.