Healthcare Data Standardization

A transformational project that streamlined clinical trial data management through automation and standardization, reducing human error and inefficiencies.

This project was focused on resolving the critical challenge of managing clinical trial site data, which was previously prone to inconsistencies due to manual processes. By leveraging modern data management solutions like Snowflake and Reltio MDM, the team built a unified data model that standardized trial site data across multiple systems. This transformation laid the groundwork for a scalable and efficient trial management process.

The project’s core involved designing a conformed data model, which integrated mastered trial data into downstream analytics systems seamlessly. This conformed data model allowed for consistent and real-time insights, greatly improving the accuracy and reliability of clinical trial site data. With faster and more streamlined data integration, the organization was able to reduce the manual workload significantly.

ClinSight's architecture also allowed for enhanced collaboration across clinical operations teams, ensuring that data was managed efficiently, securely, and in compliance with healthcare regulations. This system greatly reduced the operational burden, delivering a high-quality data management solution that positioned the client as an industry leader in clinical operation

• 50% reduction in manual data handling errors

• Standardized data across multiple trial management systems

• 40% improvement in data processing speed

• Enhanced data accuracy and compliance with healthcare standards

• Seamless integration with downstream analytics tools