Verscend drives better healthcare outcomes through data analytics, supporting payers' financial performance and quality improvement initiatives.

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podcast

the final sprint to the HEDIS 2018 finish

"From the Trenches" is a new podcast from Verscend exploring the latest trends in healthcare quality and performance analytics, risk adjustment, payment integrity, and payer-provider collaboration. Listen to our latest episode, offering important reminders for health plans during the final few weeks of the HEDIS® 2018 season.

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upcoming webinar

data patterns and predictive magic: how to improve suspecting and chart valuations

Thursday, June 7, 2018, at 2:00 p.m. ET

Big data analytics, machine learning, and artificial intelligence are familiar buzzwords in healthcare. In the complicated world of CMS, however, these technologies are critical to the way you run your business. Machine learning algorithms can leverage historical data to reveal patterns that yield nuanced insights into HCC code identification, which in turn are translated into actionable business rules. Join us as Verscend chief analytics officer David Costello reveals pre- and post-analytics that underscore the power of a clinically driven machine learning approach to suspecting.

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discover more with our blog

podcast: the final sprint
to the HEDIS 2018 finish


The countdown is on for the June 15 deadline to submit your HEDIS 2018® data, and there’s no shortage of details to keep track...

podcast: validating clinical claims
without medical record review


Automated claim editing systems are a crucial component of accurate and efficient claims payment. But there will always be claims...

set your data free! takeaways from
the 2018 Health Datapalooza


Last week, Verscend was honored to sponsor and participate in the 2018 Health Datapalooza conference in Washington, D.C...

HEDIS® is a registered trademark of the National Committee for Quality Assurance (NCQA).

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FACT SHEET

Payment Accuracy


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INFOGRAPHIC

busted: top 5 healthcare fraud schemes


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FACT SHEET

Fraud Detection