CEO at IntegraLinx, LLC, Director of Business Development & Sales Engineering at IntegraCore
Location:
United States
Industry:
Outsourcing/Offshoring
Work:
IntegraLinx, LLC - 10975 Sterling View Drive since Nov 2012
CEO
IntegraCore since Oct 2010
Director of Business Development & Sales Engineering
IntegraCore, Inc Jan 2007 - Mar 2012
Director of Client Services
Altiris/Symantec Jul 2006 - Aug 2007
Account Executive
Paradigm Network Services Feb 2004 - Jul 2006
President & CEO
Education:
University of Phoenix 2004 - 2006
MBA, MBA
Embry-Riddle Aeronautical University 1991 - 1995
Brigham Young University 1986 - 1987
None, General Studies
Embry-Riddle Aeronautical University
B.S, Aeronautical/Aerospace Engineering Technology/Technician
University Training Professor Training at Devry
University of Phoenix
MBA
Skills:
P&L Executive Management Team Leadership Operations Management Start-ups New Business Development Customer Relations Sales Management Contract Negotiation Supply Chain Management Account Management Logistics Business Management P&L Management Management Income Statement
Interests:
Writing, New Technology, Skiing, Golfing, Hiking, Fly Fishing, Basketball, Cycling
Honor & Awards:
President's Club 13 years without missing quota
Top Graduate from the Airman Leadership School--Received the John L. Levitow award
Graduated Cum Laude with BS and MBA
David Maughan - Lindon UT, US Reed Barney - Lindon UT, US Russell Vinik - Lindon UT, US John Arego - Lindon UT, US Elton Barry - Lindon UT, US
International Classification:
G06F 19/00
Abstract:
Systems and methods for reducing revenue leakage involve identifying from a database containing information regarding treatment of a patient by a medical services provider and conducting a keyword search within the database based on keywords commonly associated with billable services. When a keyword of interest is located within the database, a data mining search of words preceding and following the located keyword of interest is conducted to identify any modifiers relevant to the located keyword of interest. Then, the located keyword and any identified modifiers are used to identify one or more unbilled services, and action is taken to facilitate billing of the one or more unbilled services. The ability to access data from multiple disparate data sources utilizing NLP, Virtual Machines and HL7 messaging will benefit the service provider by improving processes and training clinicians how to be more succinct and to find all appropriate opportunities to recognize revenue when costs have been incurred.