Healthcare and the life sciences need to share data between organizations and individuals. This is a complex task that today is addressed most often by building isolated IT applications or data silos. The research guided by the idea of data ecosystems tackles this problem by proposing general concepts for the sharing of data between different parties in a structured and secure way. In healthcare and the life sciences in general, this is a particularly challenging issue, as many different stakeholders are involved, sensitive data is processed, and many different laws and guidelines have to be considered.
Data serves as a foundation for decision-making and must therefore be generated, processed, and analyzed in high-quality processes. Platforms and applications provide a basis that support and control processes, for example in patient care or in collecting clinical study data. In addition, the quality of data from internal and external sources must be monitored to evaluate the results of analyses and predictions and, if necessary, to reject or cleanse data. At each step, it must be transparent how the current data and thus its quality were created.
The research of the Digital Health Spaces group focuses on:
- Data quality and metadata management
- Patient-centered design and data sovereignty
- Data exchange and data integration
- Data transparency
- Mobile and web applications