John J Arego

US Patent:

20070215699, Sep 20, 2007

Filed:

Mar 14, 2007

Appl. No.:

11/717974

Inventors:

John Arego - Sandy UT, US
Keith Guevara - Salt Lake City UT, US
Christopher McGee - Draper UT, US
Jared Smart - Draper UT, US
Bret Warnick - Draper UT, US
Dave Boswell - West Bountiful UT, US

International Classification:

G06K 5/00
G06F 7/08

US Classification:

235380, 235381

Abstract:

An apparatus and method for selecting and processing text or images and applying the text or images to a variety of plastic cards. This system allows a user to select or upload images, select or type text and apply the image to either a dispensed plastic card similar in size to a standard credit or gift card. The system can restrict placement of images and text to pre-specified areas of a card based upon the card selected. The method can be used on the Internet to select images and text to apply to card products being purchased. The system can restrict fonts, size and colors based upon the card selected.

US Patent:

20160180035, Jun 23, 2016

Filed:

Dec 7, 2015

Appl. No.:

14/961712

Inventors:

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.