What can payers do to reduce costs?

Start by simplifying how they verify provider data

GettyImages-912364596-600x410Data inaccuracies can impact claims management, referrals, surprise medical bills, and much more. Blue Cross of California had to pay a whopping $38 million in refunds to members in 2015 as a result of inaccurate data.

A new report from Orderly Health highlights how its machine learning tools can help payers and providers verify their data and reduce costly fines.

Fill out the form to download your free copy of Orderly Health’s The Definitive Guide to Provider Data Accuracy
and learn how you can:

  • Stay compliant with CMS requirements
  • Increase your directory’s accuracy to 90% or more
  • Save over 75% on your current provider data management spending

 


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