A web-based, meta-data drive, clinical research platform for managing multiple clinical research studies

Area of Science:

• Biomedical Informatics
• Clinical Research Informatics

Background:

• Clinical studies require adaptable informatics platforms to manage dynamic research needs.
• Existing systems often struggle to keep pace with evolving clinical research requirements.

Purpose of the Study:

• To develop a web-based Clinical Study Information System (CSIS) for efficient clinical data management.
• To improve the quality and timeliness of clinical research through an adaptable informatics solution.

Main Methods:

• Developed a web-based system (CSIS) in collaboration with NIH's CIT and NINDS.
• Integrated a Form Designer for creating electronic Case Report Forms (eCRFs).
• Incorporated a patient registry module for subject recruitment and screening.
• Implemented an ad-hoc query engine for complex data stratification and export.

Main Results:

• CSIS provides a flexible platform for designing eCRFs and managing patient registries.
• The ad-hoc query engine allows investigators to extract specific patient data without database expertise.
• The system facilitates efficient data management, improving research quality and timeliness.

Conclusions:

• The Clinical Study Information System (CSIS) effectively addresses the challenges of dynamic clinical research.
• CSIS enhances the efficiency, quality, and timeliness of clinical data management and analysis.