Susan Kathleen Harada
Nursing in Salt Lake City, UT
License number
Utah 195528-3102
Issued Date
Aug 11, 1975
Expiration Date
Jan 31, 2015
Category
Nurse
Type
Registered Nurse (Under Interstate Compact)
Address
Address
Salt Lake City, UT
Professional information
Susan Harada
Location:
Greater Salt Lake City Area
Industry:
Computer Software
Data Representation Management In A Database
US Patent:
2002012, Sep 12, 2002
Filed:
Jan 5, 2001
Appl. No.:
09/755972
Inventors:
Lee Lau - Salt Lake City UT, US
Brian Larsen - Salt Lake City UT, US
Shane Beeney - Sandy UT, US
Joni Endo - Salt Lake City UT, US
Matt Landheim - Kaysville UT, US
Patricia Wilson - Henderson NV, US
Eric Lie - Park City UT, US
Susan Harada - Salt Lake City UT, US
Martha Gerard - Salt Lake City UT, US
Edward Cassin - East Layton UT, US
Jerry Pay - Sandy UT, US
Brian Larsen - Salt Lake City UT, US
Shane Beeney - Sandy UT, US
Joni Endo - Salt Lake City UT, US
Matt Landheim - Kaysville UT, US
Patricia Wilson - Henderson NV, US
Eric Lie - Park City UT, US
Susan Harada - Salt Lake City UT, US
Martha Gerard - Salt Lake City UT, US
Edward Cassin - East Layton UT, US
Jerry Pay - Sandy UT, US
Assignee:
3M Innovative Properties Company
International Classification:
G06F017/60
US Classification:
705/002000
Abstract:
Systems and methods for managing physical location data and representation data in a health data dictionary. Clinical data is represented in a health data dictionary using a vocabulary that includes concepts and representations. Each concept is a unique item or idea and each concept can be associated with multiple representations. The default representations are difficult to use because most legacy systems are already accustomed to other terms or identifiers. The present invention allows the representations in the health data dictionary to be changed, altered, or modified according to the desires, of the legacy systems. The representation to be changed is identified by the legacy system and changed in accordance with instructions received from the legacy systems. The instructions may be to update, change, add, delete or otherwise modify a representation. The location manager is used to modify physical location data including representations, contexts, and concepts. The representation manager is used to modify contexts and representations of multiple types of data. In this manner, representations can be searched, assigned to other concepts, updated, changed, deleted, created and the like. The modules that perform these actions are subject to rules and constraints of the health data dictionary. Also, these modules modify relationships in the health data dictionary that are associated with the representations being changed.
Mapping Clinical Data With A Health Data Dictionary
US Patent:
2002012, Sep 12, 2002
Filed:
Jan 5, 2001
Appl. No.:
09/755966
Inventors:
Lee Lau - Salt Lake City UT, US
Joni Endo - Salt Lake City UT, US
Steve Karren - Kaysville UT, US
Michelle Willis - South Sandy UT, US
Susan Harada - Salt Lake City UT, US
Shane Beeney - Sandy UT, US
Brian Larsen - Salt Lake City UT, US
Edward Cassin - East Layton UT, US
Martha Gerard - Salt Lake City UT, US
Joni Endo - Salt Lake City UT, US
Steve Karren - Kaysville UT, US
Michelle Willis - South Sandy UT, US
Susan Harada - Salt Lake City UT, US
Shane Beeney - Sandy UT, US
Brian Larsen - Salt Lake City UT, US
Edward Cassin - East Layton UT, US
Martha Gerard - Salt Lake City UT, US
International Classification:
G06F017/60
US Classification:
705/002000
Abstract:
Systems, methods, and computer program products for mapping clinical data including insurance data and pharmaceutical data with a health data dictionary. The health data dictionary provides a vocabulary that identifies insurance companies and pharmaceutical compounds including drugs in a normalized and standard form. The clinical data generated at a legacy system is compared with standard clinical data stored in the health data dictionary. Based on this comparison a partial or exact match is identified for the clinical data. After a match is selected, the normalized clinical data can be stored in a data repository. For unmatched clinical data, new concepts can be created and added to the health data dictionary for future use.