Ayasdi: Reverse Engineering Payer Behavior to Improve Denied Claims Management

Denials are one of the most persistent problems in the revenue cycle and its about to get worse – a lot worse with the rollout of ICD-10.

The reason it is bad actually has little to do with why its about to get worse, but denials and ICD-10 are united in a common solution – something called machine intelligence.

Approximately 5% of net revenue is denied or rejected. While stunningly high, it does provide a massive data foundation to evaluate the problem from.

The labyrinth of payer rules

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a RiskTech Forum account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: