Building a Clinically Significant Rare Disease Data Master

Rare disease challenges

  • No single authority providing a comprehensive list of rare disease definitions - this is is the backbone to which all clinically relevant information can be mapped

  • Poor understanding and alignment around what makes up a rare condition in academia, clinics, and healthcare

  • Belief that there are between 7,000 to 9,000 rare conditions depending which source you consult, yet our complete set contains over 12,000 conditions with 7,230 from Orphanet - and many still being defined

  • Gaps in the medical coding (SNOMED-CT and ICD-10) coverage of rare diseases - there are 128 ICD-10 codes mapped to a rare condition

  • 161 conditions with approved drugs

Getting life-saving information to doctors and patients quickly

  • Doctors and patients get actionable, coordinated information in days not weeks

  • Doctor and patient engagement creates a knowledge exchange –flywheel/network effect that makes solution better over time

  • Create patient-centric communities around genetics, symptoms and treatments that work – potential to scale through crowdsourcing

  • Provide re-diagnosis and updated treatment guidelines to doctors and healthcare systems

Watch Interview
Using KNIME Software at Alexion Pharmaceuticals

Sebastien Lefebvre, Senior Director - Data Sciences, Genetics, and Bioinformatics at Alexion Pharmaceuticals, talks how to bring analytics to the data and not the other way around. He explains the approach of using KNIME to create "Analytical Recipes" and sharing these with partners so they can run analyses against their own data set.

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