Kpmg LLP

David Scripka

Martin Kaestner

Rachel Wagner-kaiser

John Hyung Lee

James Johnson Gardner

Chenming Xue

Gregory Alexander Vorsanger

Ryan Christopher Soileau

Drew S Cobb

Dylan Kab

Thomas R Covella, Ii

The invention relates to computer-implemented systems and methods for identifying and further preventing commercial or contract leakage across multiple different procurement relationships. This may involve ingesting a contract extracting commercial terms, such as price, rates, etc. Invoices may be similarly ingested and commercial terms may be extracted on a line item basis. An embodiment of the present invention may identify various types of commercial leakage, such as rate/price discrepancies, full/partial duplication, unrealized discounts, unrealized rebates, disallowance of charges (travel expenses), etc.

System and method for implementing a commercial leakage platform

The invention relates to computer-implemented systems and methods for analyzing medical images and records in various formats and structures from disparate sources and providers to provide answers to specific medical-related questions. An embodiment of the present invention is directed to accessing a health care form, identifying related text, leveraging computer vision technology to group nearby text, and applying deep learning models to identify fields from the text. This information may then be used to create a structured standardized output.

System and method for implementing a medical records analytics platform

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Atlanta, GA, United States of America

David Scripka