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IMS Health Article – How predictive analytics can help find patients with undiagnosed rare diseases

In Clinical Development, Orphan Drug Congress, Orphan Drugs Live by Freya SmaleLeave a Comment

IMS Health ArticleHow predictive analytics can help find patients with undiagnosed rare diseases

  • Is late diagnosis a serious problem for rare conditions?
  • Are lengthy diagnosis processes for rare diseases creating negative outcomes where potentially curative treatments exist?
  • What if you could identify potential patients earlier by looking at factors that predict a condition?

This article by IMS experts will address these questions. The article will assess how real-world data and advanced predictive analytics can be leverage to find undiagnosed patients with rare conditions. This innovative approach promises to accelerate time to diagnosis for people with undiagnosed rare conditions, bringing hope and treatment to suffers earlier in the disease course.

Download your copy here >

If you are interested in this, then you should be at IMS Health’s workshop on April 20th on Using real-world data to find undiagnosed patients with rare diseases at World Orphan Drug Congress USA 2016 – meet them there by registering today!

World Orphan Drug Congress USA 2016

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