University of Utah Hospitals and Clinics
Prinicple System Engineer
University of Utah
Prinicple System Engineer
University of Utah Hospitals and Clinics
It Project Manager Ii
Education:
Weber State University 1993 - 1999
Bachelors, Science Information, Information Systems
Skills:
Troubleshooting Network Security Firewalls Network Administration Cisco Technologies Network Engineering System Administration Networking Juniper Information Technology Routing Project Management Process Improvement Voip Active Directory Leadership Security Wireshark Wireless Networking Ospf Switches Data Center Management Os X Ipsec Cisco Ios
Rincon Research Corporation
Machine Learning Scientist
Byu Department of Physics Jun 2018 - Aug 2018
Computational Science Researcher
Dgcamp Apr 2017 - Jun 2018
Researcher
Nys Department of Health Bureau of Contracts Communications & Fiscal Management Dec 2015 - Aug 2016
Student Assistant
Education:
Utah State University
University of Arizona
Masters
Skills:
C++ Python Agent Based Modeling Mathematics Spanish Research Leadership Maple High Frequency Trading
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.