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Brian K Schulte

from Minneapolis, MN
Age ~55

Brian Schulte Phones & Addresses

  • 7800 Terra Linda Dr, New Hope, MN 55427 (763) 546-1369
  • Minneapolis, MN
  • Rogers, MN
  • Saint Paul, MN
  • Chaska, MN

Professional Records

Medicine Doctors

Brian Schulte Photo 1

Brian P. Schulte

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Specialties:
Family Medicine
Work:
Baton Rouge General PhysiciansBaton Rouge Family Health Center
3801 North Blvd, Baton Rouge, LA 70806
(225) 381-6620 (phone), (225) 381-6629 (fax)
Education:
Medical School
University of Cincinnati College of Medicine
Graduated: 1987
Procedures:
Arthrocentesis
Circumcision
Destruction of Benign/Premalignant Skin Lesions
Electrocardiogram (EKG or ECG)
Hearing Evaluation
Pulmonary Function Tests
Vaccine Administration
Conditions:
Abnormal Vaginal Bleeding
Acne
Acute Conjunctivitis
Acute Upper Respiratory Tract Infections
Allergic Rhinitis
Languages:
English
Spanish
Vietnamese
Description:
Dr. Schulte graduated from the University of Cincinnati College of Medicine in 1987. He works in Baton Rouge, LA and specializes in Family Medicine. Dr. Schulte is affiliated with Baton Rouge General Medical Center.

Resumes

Resumes

Brian Schulte Photo 2

Inver Grove Heights, Minnesota

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Location:
Minneapolis, MN
Industry:
Hospital & Health Care
Work:
Unitedhealth Group
Vp, Uhc Technology

Unitedhealth Group
Vp, Portfolio Management and Segment Initiatives

Validus Consulting Sep 2005 - Mar 2008
Consultant

Allina Health 2005 - 2007
Consultant

Softricity Aug 2004 - Sep 2005
Regional Systems Engineer Manager
Education:
St. Cloud State University 1991 - 1995
Bachelors, Bachelor of Science, Computer Information Systems, Business
Skills:
Consulting
Application Virtualization
Healthcare Information Technology
Medicare
Vendor Management
Management
Healthcare Industry
Leadership
Business Process Improvement
Strategic Planning
Healthcare
Managed Care
Healthcare Consulting
Healthcare Management
Virtualization
Health Insurance
It Strategy
Project Portfolio Management
Strategy
Executive Management
Integration
It Management
Information Technology
Long Term Care
Hospitals
Insurance
Quality Improvement
Brian Schulte Photo 3

Senior Manager Collections Strategy

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Location:
10624 west Lohman Rd, Lohman, MO 65053
Industry:
Retail
Work:
Pioneer Services
Chief Creative Officer

Universal Acceptance Corporation Apr 1, 2013 - Dec 2014
Vice President of Credit and Analytics

Fortel Analytics May 2009 - Apr 2013
Cheif Technology Officer

Scout Media Network Oct 2008 - Nov 2010
Director of Credit and Collections

Fingerhut 2006 - 2008
Vice President Credit New Customer Acquisitions
Education:
Clemson University 1992 - 1994
Master of Science, Masters, Statistics
St. Olaf College 1988 - 1992
Bachelors, Bachelor of Arts, Mathematics
Helias High School
State Technical College of Missouri
Skills:
Credit
Credit Cards
Analytics
Sas
Segmentation
Financial Analysis
Forecasting
Customer Acquisition
Budgets
Management
Risk Management
Credit Risk
Database Marketing
Process Improvement
Direct Marketing
Brian Schulte Photo 4

Brian Schulte

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Business Records

Name / Title
Company / Classification
Phones & Addresses
Brian C Schulte
Vice Presi
GATEWAY ONE LENDING & FINANCE, LLC
200 Lk St E C/O Exo-02-T, Wayzata, MN 55391

Publications

Us Patents

Healthcare Claims Fraud, Waste And Abuse Detection System Using Non-Parametric Statistics And Probability Based Scores

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US Patent:
20170017760, Jan 19, 2017
Filed:
Jul 21, 2016
Appl. No.:
15/216133
Inventors:
- Maple Grove MN, US
Allen Philip Jost - Coronado CA, US
Brian Keith Schulte - New Hope MN, US
Walter Allan Klindworth - Maple Grove MN, US
Stephen Thomas Parente - Wayzata MN, US
Assignee:
Fortel Analytics LLC - Maple Grove MN
International Classification:
G06F 19/00
G06F 17/30
H04L 29/06
Abstract:
The present invention is in the field of Healthcare Claims Fraud Detection. Fraud is perpetrated across multiple healthcare payers. There are few labeled or “tagged” historical fraud examples needed to build “supervised”, traditional fraud models using multiple regression, logistic regression or neural networks. Current technology is to build “Unsupervised Fraud Outlier Detection Models”.Current techniques rely on parametric statistics that are based on assumptions such as outlier free and “normally distributed” data. Even some non-parametric statistics are adversely influenced by non-normality and the presence of outliers.Current technology cannot represent the combined variable values into one meaningful value that reflects the overall risk that this observation is an outlier. The single value, the “score”, must be capable of being measured on the same scale across different segments, such as geographies and specialty groups. Lastly, the score must substantially, monotonically rank the fraud risk and give reasons to substantiate the score.
Brian K Schulte from Minneapolis, MN, age ~55 Get Report