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by Internal Labs
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Solution
109
Publisher
Internal Labs
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Version
Updated
Works with
Studio: 18.4 - 22.10
Certification
Silver Certified
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263
This automation helps to extract information from multiple document types.
Free
<100
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
941
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
CMS-1500 is a standard medical claims form for Medicare and Medicaid billing. This model can auto-detect over 80 fields, including payer info, patient details, and claim specifics.
112
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.
102
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.