Data that’s not fit-for-purpose can be scary, but here’s the good news – Nordic data has many characteristics that allow it to be considered high-quality for a wide range of purposes. These include:
✔ Complete population coverage for administrative (claims-type) data
✔ Long patient follow-up of 20+ years
✔ Wide set of variables that holistically characterise patients including SDOH
✔ Deterministic, patient-level linkage between all datasets
✔ Complete mortality data including date and cause of death
✔ Linkage to clinical registries including disease severity and PROs including quality of life
✔ Labs and genetic data from biobanks and EHRs

…Spook-tacular!

Did you know that Quantify has conducted over 200 RWE projects including 15 pan-Nordic studies? Get in touch with our scarily experienced, expert team to find out more about the data or explore use cases.

🎃 Happy Halloween! 🎃