Candace C Wahlstrom
Nursing at Girard Ave, Salt Lake City, UT

License number
Colorado 43307
Issued Date
Sep 1, 1970
Renew Date
Sep 30, 1997
Expiration Date
Sep 30, 1997
Type
Registered Nurse
Address
Address
41 W Girard Ave, Salt Lake City, UT 84103

Professional information

Candace Wahlstrom Photo 1

Method And System For Generating Statistically-Based Medical Provider Utilization Profiles

US Patent:
5557514, Sep 17, 1996
Filed:
Jun 23, 1994
Appl. No.:
8/264795
Inventors:
Jerry G. Seare - Salt Lake City UT
Patricia A. Smith-Wilson - North Salt Lake UT
Kurt VanWagoner - Layton UT
Jean A. Mattey - Midvale UT
Eileen K. Snyder - Sandy UT
Candace C. Wahlstrom - Salt Lake City UT
Michelle Willis - Sandy UT
Matthew R. Bentley - West Jordan UT
Steven J. Wenzbauer - Bountiful UT
Rodney Fredette - Salt Lake City UT
Vicki S. Sennett - Sandy UT
Assignee:
Medicode, Inc. - Salt Lake City UT
International Classification:
G06F15900
US Classification:
364401
Abstract:
A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.


Candace Wahlstrom Photo 2

Method And System For Generating Statistically-Based Medical Provider Utilization Profiles

US Patent:
6223164, Apr 24, 2001
Filed:
Oct 5, 1995
Appl. No.:
8/539413
Inventors:
Jerry G Seare - Salt Lake City UT
Patricia A Smith-Wilson - North Salt Lake UT
Kurt VanWagoner - Layton UT
Jean Andrea Mattey - Midvale UT
Eileen K. Snyder - Sandy UT
Candace C. Wahlstrom - Salt Lake City UT
Michelle Willis - Sandy UT
Matthew R. Bentley - West Jordan UT
Steven J. Wenzbauer - Bountiful UT
Rodney Fredette - Salt Lake City UT
Vicki Sue Sennett - Sandy UT
Assignee:
Ingenix, Inc. - Eden Prairie MN
International Classification:
G06F15900
US Classification:
705 2
Abstract:
A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.


Candace Wahlstrom Photo 3

Method And System For Generating Statistically-Based Medical Provider Utilization Profiles

US Patent:
2011012, May 26, 2011
Filed:
Aug 9, 2010
Appl. No.:
12/853150
Inventors:
Jerry G. Seare - Salt Lake City UT, US
Patricia A. Smith-Wilson - North Salt Lake UT, US
Kurt Van Wagoner - Layton UT, US
Jean Andrea Mattey - Midvale UT, US
Eileen K. Synder - Sandy UT, US
Candace C. Wahlstrom - Salt Lake City UT, US
Michelle Willis - Sandy UT, US
Matthew R. Bentley - West Jordan UT, US
International Classification:
G06Q 50/00, G06Q 30/00, G06Q 10/00
US Classification:
705 3, 705 2
Abstract:
A method and system for analyzing historical medical provider billings to statistically establish a normative utilization profile. Comparison of a medical provider's utilization profile with a normative profile is enabled. Based on historical treatment patterns and a fee schedule, an accurate model of the cost of a specific medical episode can be created. Various treatment patterns for a particular diagnosis can be compared by treatment cost and patient outcome to determine the most cost-effective treatment approach. It is also possible to identify those medical providers who provide treatment that does not fall within the statistically established treatment patterns or profiles.