One of the main challenges faced by all companies conducting strategic planning for rare diseases is obtaining accurate data on the size of these often complex patient populations. The challenge of accurately estimating the prevalence of rare diseases is illustrated in the literature, where prevalence figures often span strikingly wide ranges – sometimes varying by orders of magnitude between studies. This level of uncertainty affects every step of the molecule-to-market planning cycle. The growing availability of large-scale genetic databases offers a solution to close the gap on wide ranging rare disease prevalence estimates, and can complement the data derived from other sources including the literature and information gathered from clinical practice.
When you need a future-facing decision engine for big, real world population health questions, we are the people to turn to.
Solutions