
Capture healthcare claim data automatically, precisely and accurately. Dramatically lower costs and improve productivity.
It’s the same issue for payors of any size. The claim forms keep arriving, and the push is constantly on to get data off the paper and into financial management, document management and other backend applications for processing. Speed, accuracy and cost are critical.
Manually entering data from CMS1500/HCFA and UB92 forms places an unnecessary
cap on productivity that puts pressure on the rest of your downstream processes.
AnyDoc®CLAIM alleviates that pressure. Working with a scanned claim image, the software automatically captures all the data you need from a claim form—quickly and accurately. Moving to automated capture gets accurate information into your system faster.
AnyDoc®CLAIM addresses the key problems that stem from manual data entry, including:
AnyDoc®CLAIM takes incoming claims from envelope to archive far faster than with manual processing—with the precision and care required of sensitive healthcare data.
Learn how you can use AnyDoc®CLAIM to:
Ensure accurate financial data with automatic claims balancing: AnyDoc®CLAIM cross-checks total charges, amount paid and balances due. A balanced equation can bypass verification—if you so choose—to speed processing and reduce cash flow cycle time.
Process even poorly printed and damaged forms accurately: Image enhancement capabilities reconstruct blurred characters for accurate recognition, increasing accuracy.
Reduce processing costs immediately: With automation, you can reduce claim forms processing costs by up to 60% per claim.
Process multi-page claims and attachments automatically: AnyDoc®CLAIM identifies document sets and multi-page images—without any manually inserted patch pages. And when a claim contains attachments, AnyDoc®CLAIM saves the attachments with the corresponding claim for more efficient processing downstream.
Verify complex codes automatically: Complex data fields like medical procedures (CPT codes), cause of illness (diagnosis codes), patient ID number and provider account numbers can be cross-validated against 3rd party data tables to improve accuracy.