Familial hypercholesterolemia (FH) is an autosomal dominant hereditary dyslipidemia that leads to high plasma cholesterol levels and a severely increased risk for premature cardiovascular disease. Early primary prevention with lipid lowering drugs can markedly reduce this risk. FH is underdiagnosed in Sweden. With a prevalence of 1:311, approximately 33 000 individuals in Sweden are expected to have FH but only a small percentage have been diagnosed up until now. We developed a digiphysical cascade screening model to diagnose FH in relatives of an index case with a confirmed pathogenic mutation in a FH disease gene. It has the potential to provide high-throughput and effective screening and the work model is now part of the clinical routine care at Karolinska University Hospital.