Generalizable Middleware to Support Use of REDCap Dynamic Data Pull for Integrating Clinical and Research Data

Area of Science:

• Biomedical Informatics
• Health Data Management
• Clinical Research Technology

Background:

• REDCap is a widely-used electronic data capture system for clinical research.
• The Dynamic Data Pull (DDP) module facilitates data integration but requires custom middleware.
• Lack of middleware hinders institutional adoption and investigator use of DDP.

Purpose of the Study:

• To develop a REDCap DDP web service middleware.
• To minimize developer effort and enable configuration by non-developers.
• To create a generalizable solution for integrating REDCap with local data systems.

Main Methods:

• Developed a web service middleware for REDCap DDP.
• Focused on configuration-driven setup to reduce technical expertise needed.
• Designed for broad applicability across different institutional settings.

Main Results:

• The developed middleware simplifies the integration of REDCap DDP with local systems.
• Early findings indicate the approach is successful in overcoming adoption barriers.
• The solution minimizes developer effort and is configurable by non-developers.

Conclusions:

• The novel REDCap DDP middleware successfully addresses the need for easier data integration.
• This approach lowers the barrier for institutions to leverage clinical and research data exchange.
• The middleware offers a generalizable and user-friendly solution for REDCap users.