It is limitations in infrastructure – and not data – that creates the biggest bottlenecks for delivering Nordic real-world data.
This article describes how we in NHTA use DTU Computerome to address scalability, security, and compliance needs across real-world evidence analyses in the Nordics.
A good example of this was a study we conducted to map out the skin disease burden in Denmark. We analyzed a data set of 6.5 million individuals across three decades, including demographic and socioeconomic variables. The normal data infrastructure could not handle the cohort’s complexity and scale. Because the work involved sensitive patient-level data, it required a scalable, secure solution fully GDPR and NIS2 compliant.
This setup is completely unique and enables:
-
Cross-Nordic Real-world data analysis
-
Integration across genomic, registry, and biobank data sources
Read more at https://computerome.dk/case-stories/nhta-uses-dtu-computerome-for-scalability%252C-security%252C-and-more
