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!

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