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Add real-time EDI data transformation capabilities to your claim status intake automation process to eliminate old technical debt and enable hundreds of additional claim-centered use cases.
Process FREE any invoice (header + line items) with +99% accuracy, no training or template needed.
Supercharge your claims processing times with semantic document classification & extraction
Leverage the solution that combines UiPath, ABBYY, and K2’s best-of-breed technologies to optimize your expense claim management process that will help minimize & remove risks, reduce costs, save time
A Natural Language Processing based Accelarator to extracts medical phrases and terms from patients charts to recommend ICD-10 Diagnosis codes, also help for quality checking of existing coded
The claims form intake use case accelerator automates intake and conversion of all CMS 1500 and UB04 claim forms to EDI 837.
This accelerator is an out-of-the-box ML model for seamless processing, retrieval, and validation of Health Insurance Claim Form 1500.
The CMS Paper Claims Electronic Conversion use case accelerator automates the conversion of CMS 1500 and UB04 claim forms to EDI 837P and 837I, respectively.
Reduce technical debt in your revenue cycle management (RCM) processes by enabling easy EDI X12 mapping in your eligibility process.
Statistical ML model is used for entity extraction specific to the insurance industry for Insurance industries for extraction for entities i.e. policy number, policy tenure, client name.
Automate the posting of digital claim payments by converting EDI 835 files to Microsoft Excel.
This automation helps to extract information from multiple document types.