The CODEX project is a sister project of HiGHmed. In CODEX, the visualization modules of the HiGHmed project were adapted with the aim of enhancing the user experience and usability of the dashboard. To achieve this, the visualization modules were integrated into a layout manager and connected through linking and brushing techniques. This enables the responsible experts to perform visual analysis seamlessly across all visualization modules without having to adjust settings when switching between visualizations. Additionally, a state manager was implemented to capture the progression of the visual analysis. Users can save these intermediate states as separate files and load them into the dashboard to continue the visual analysis at a different time or share them with colleagues.

About the Project:

The Network of University Medicine (NUM) is building the CODEX (COVID-19 Data Exchange) research data platform, which serves as a secure and interoperable platform for providing COVID-19 research data and connecting university hospitals across the country.

The challenges involve capturing and consolidating large amounts of research-relevant data on COVID-19 from the IT systems and electronic medical records of university hospitals in a standardized and timely manner. The main goal is to gain insights quickly to support the best possible patient care, prevent future pandemics, optimize epidemic management, and foster the development of vaccines and medications.

The solutions include developing a powerful and comprehensive research data platform based on the FAIR principles, enabling the integration and analysis of various types of data. The platform connects the data integration centers of German university hospitals and supports decentralized data collection and distributed scientific analyses. Additionally, it enables the development of mobile apps and clinical applications accessible to all hospitals.

The research data platform provides fast data access and adheres to the FAIR principles. It promotes the development of new services and applications through open information models and programming interfaces. By providing structured data, it supports scientific research and enables evidence-based decision support systems.

The additional benefits include a comprehensive, standardized database from various sources, including patient-generated data, complying with ethical and data protection requirements. This allows for innovative scientific evaluations and improves patient care through high-quality services and applications for citizens and healthcare institutions.