For the Record Article: Data Analytics – Big Data Tackles Revenue Cycle Deficiencies

Big data is transforming clinical outcomes in multiple ways—from extracting information trapped in unstructured EHR fields to deciphering population health trends—helping providers up their game with qualitative medicine.

But we’re only beginning to unearth the potential for big data, or analytics, in revenue cycle management (RCM). Over the last few years, terms such as artificial intelligence (AI) and machine learning have entered our vocabulary, and we’re continually learning about new capabilities for advanced algorithms to process raw data, turn them into actionable insights, and automate workflows.

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In this guide, we break down why denial rate stops being useful once a team is already hitting it and what to track instead. You’ll see how a claim that’s never denied can still take six touches and multiple people to get paid, why the industry’s own denial-touch benchmark is missed by a factor of three, and how one ambulatory surgery center management company cut denials 18% and labor dependence 30% by treating claims, denials, and cost as one connected problem.

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In this guide, we break down why denial rate stops being useful once a team is already hitting it and what to track instead. You’ll see how a claim that’s never denied can still take six touches and multiple people to get paid, why the industry’s own denial-touch benchmark is missed by a factor of three, and how one ambulatory surgery center management company cut denials 18% and labor dependence 30% by treating claims, denials, and cost as one connected problem.

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A team can spend 40 hours resolving 200 claims, watch 180 of them pay, and still report a comfortable 8 percent denial rate. That number doesn’t tell you what it cost to get there.

In this guide, we break down why denial rate stops being useful once a team is already hitting it and what to track instead. You’ll see how a claim that’s never denied can still take six touches and multiple people to get paid, why the industry’s own denial-touch benchmark is missed by a factor of three, and how one ambulatory surgery center management company cut denials 18% and labor dependence 30% by treating claims, denials, and cost as one connected problem.

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