Accelerating translational research by clinically driven development of an informatics platform--a case study.

Area of Science:

• Biomedical Informatics
• Translational Medicine
• Data Integration

Background:

• Translational medicine relies heavily on diverse data from healthcare, clinical research, and molecular studies.
• Integrating fragmented databases and enabling secondary data use pose significant challenges.
• Clinicians and researchers need user-friendly information systems for effective data utilization.

Purpose of the Study:

• To design and implement a web-based system for managing and integrating clinical and molecular databases in a translational medicine setting.
• To test the system's functionality with real-world clinical cohorts.
• To demonstrate system interoperability with a clinical decision support system.

Main Methods:

• Developed a user-friendly, web-based system for secure data management and integration.
• Utilized clinical cohorts of 747 psoriasis and 2001 rheumatoid arthritis patients for testing.
• Integrated the system with an established clinical decision support system.
• Evaluated system performance through response time and error detection.

Main Results:

• The system successfully integrated clinical and molecular data, enabling cohort stratification and biomarker analysis.
• Demonstrated efficient querying across diverse data sources for psoriasis and rheumatoid arthritis cohorts.
• Achieved seamless interoperability with a clinical decision support system.
• System performance evaluation showed a maximum response time of 0.12 seconds with no detected errors.

Conclusions:

• The developed system effectively addresses the need for integrated data management in translational medicine.
• It provides a user-friendly platform for clinicians and biomedical researchers.
• The system's interoperability and performance support its readiness for practical application.