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The provider data problem: Widespread inaccuracy and a harsh regulatory landscape

Inaccurate provider data strains relationships with health plans and increases the chances of missed revenue opportunities for providers. Download the free report to learn more.

Shouldn’t your provider data be more accurate than a coin flip? Shockingly, recent studies show that the average level of inaccuracy for provider data across Medicare Advantage Organizations is around 50%. Widespread data inaccuracies affect everything–including claims management, referrals, credentialing, surprise medical bills, and much more. Inaccurate provider data strains relationships with health plans and increases the chances of missed revenue opportunities for providers. Lastly, inaccurate provider data has a direct impact on a health plan’s bottom line in the form of federally mandated reimbursements and exorbitant fines.  Clearly, there needs to be another way. That’s why Orderly has created a custom machine learning engine, OrderlyData, that leverages billions of public and proprietary data points to ingest, clean, and update your provider directory data automatically, all with minimal involvement by providers themselves. OrderlyData uses code, not call centers, to deliver truly unparalleled accuracy to health plan clients. Interested in improving the quality of your provider data? Fill out the form below to download your free copy of Orderly’s The Definitive Guide to Provider Data Accuracy
. Photo: LumineImages, Getty Images