Clinical Data Management Software

Efficient management of clinical research data can significantly enhance the quality of care and operational efficiency. This software solution empowers hospitals, health systems, and academic medical centers to robustly manage imaging and related data across various sources. Designed as a cloud-based platform, it facilitates the aggregation, curation, and management of this data, accelerating the analysis of outcomes and the development of imaging algorithms.

The platform offers comprehensive tools for indexing, ingesting, and curating data, alongside automation for processing and machine learning pipelines. It ensures secure, compliant collaboration across clinical settings, integrating seamlessly with existing systems.

Key Features:

• Central storage and viewing of clinical images, including analysis outputs such as masks.
• Real-time management of jobs and orchestration of custom workflows through algorithm containerization.
• Removing data access barriers with visibility for site administrators into all site data.
• Comprehensive file versioning to track changes, document initiators, and facilitate reversion if necessary.

End-to-End Data Management:

This software supports multi-center collaboration with secure data sharing and streamlined patient cohort management. It provides tools for indexing, metadata, and radiology report searches, quality controls, and offers customization through APIs, Python, and Matlab.

Optimized for Clinical Trials:

Enhancing clinical trial workflows by simplifying data collection, processing, and sharing, the software enables secure imaging data transfer and verification, data de-identification, and full research workflow automation, all while remaining 21 CFR Part 11 compliant. Integration with preferred imaging workstations is also supported.

Notably, the platform is praised for enhancing collaboration and efficiency in artificial intelligence and research work by standardizing data pipelines and ensuring that all involved work from a shared, up-to-date dataset.