Angeline M Carlson

US Patent:

20020123906, Sep 5, 2002

Filed:

Apr 27, 2001

Appl. No.:

09/844234

Inventors:

Gary Goetzke - St. Paul MN, US
Thomas Johns - Minneapolis MN, US
Malcolm Reid - St. Paul MN, US
John Borg - Edina MN, US
Angeline Carlson - Eden Prairie MN, US

International Classification:

G06F017/60

US Classification:

705/002000

Abstract:

Potential chronic pain patients selection from a population such as an employer or medical care payer database are stratified according to risk using a method or computer software product to improve accuracy in stratifying potential chronic pain patients, decrease the time required to stratify potential chronic pain patient increasing opportunities for early intervention, stratifying selected potential chronic pain patients based upon preference of stakeholders, and many other benefits. Desired patient indicia including direct medical indicia, indirect medical indicia, and non-medical indicia are selected to serve as independent variables. At least one chronic pain indication is selected to serve as a dependent variable. A chronic pain risk model is created using the patient indicia and the chronic pain indication. The chronic pain risk model is applied to potential chronic pain patients that had been identified by from the population that conform to the chronic pain model. Many different embodiments of the chronic pain patient risk stratification system method and software product are possible.

US Patent:

20020128866, Sep 12, 2002

Filed:

Apr 27, 2001

Appl. No.:

09/844144

Inventors:

Gary Goetzke - St. Paul MN, US
Tommy Johns - Minneapolis MN, US
Malcolm Reid - St. Paul MN, US
Angeline Carlson - Eden Prairie MN, US

International Classification:

G06F017/60

US Classification:

705/002000

Abstract:

The medical resource for chronic pain patients are forecasted using a method or computer software product to improve accuracy in forecasting medical resources, decrease the time required to forecast medical resources, and many other benefits. Desired patient indicia including direct medical indicia, indirect medical indicia, and non-medical indicia are selected to serve as independent variables. At least one chronic pain indication is selected to serve as a dependent variable. A chronic pain forecasting model is created using the patient indicia and the chronic pain indication. The chronic pain forecasting model is applied to a chronic pain patient indicia to create a patient forecast. Many different embodiments of the chronic pain patient identification system method and software product are possible.

US Patent:

20020128867, Sep 12, 2002

Filed:

Apr 27, 2001

Appl. No.:

09/844195

Inventors:

Gary Goetzke - St. Paul MN, US
Thomas Johns - Minneapolis MN, US
Malcolm Reid - St. Paul MN, US
John Borg - Edina MN, US
Angeline Carlson - Eden Prairie MN, US

International Classification:

G06F017/60

US Classification:

705/002000

Abstract:

Potential chronic pain patients are identified in a population such as an employer or medical care payer database using a method or computer software product to improve accuracy in identifying potential chronic pain patients, decrease the time required to identify potential chronic pain patient increasing opportunities for early intervention, identify selected potential chronic pain patients based upon preference of stakeholders, and many other benefits. Desired patient indicia including direct medical indicia, indirect medical indicia, and non-medical indicia are selected to serve as independent variables. At least one chronic pain indication is selected to serve as a dependent variable. A chronic pain model is created using the patient indicia and the chronic pain indication. The chronic pain model is applied to the population and potential chronic pain patients are identified by selecting individuals from the population that conform to the chronic pain model. Many different embodiments of the chronic pain patient identification system method and software product are possible.

US Patent:

20030018240, Jan 23, 2003

Filed:

Apr 27, 2001

Appl. No.:

09/844883

Inventors:

Gary Goetzke - St. Paul MN, US
Malcolm Reid - St. Paul MN, US
Angeline Carlson - Eden Prairie MN, US

International Classification:

A61B005/00

US Classification:

600/300000

Abstract:

Potential chronic heart failure patients are identified in a population such as an employer or medical care payer database using a method or computer software product to improve accuracy in identifying potential chronic heart failure patients, decrease the time required to identify potential chronic heart failure patient increasing opportunities for early intervention, identify selected potential chronic heart failure patients based upon preference of stakeholders, and many other benefits. Desired patient indicia including direct medical indicia, indirect medical indicia, and non-medical indicia are selected to serve as independent variables. At least one chronic heart failure indication is selected to serve as a dependent variable. A chronic heart failure model is created using the patient indicia and the chronic heart failure indication. The chronic heart failure model is applied to the population and potential chronic heart failure patients are identified by selecting individuals from the population that conform to the chronic heart failure model. Many different embodiments of the chronic heart failure patient identification system method and software product are possible.

US Patent:

20030097185, May 22, 2003

Filed:

Apr 27, 2001

Appl. No.:

09/844145

Inventors:

Gary Goetzke - St. Paul MN, US
Thomas Johns - Minneapolis MN, US
Malcolm Reid - St. Paul MN, US
Jack Jackson - Minneapolis MN, US
Angeline Carlson - Eden Prairie MN, US

International Classification:

G05B015/00

US Classification:

700/001000

Abstract:

The medical resource for chronic pain patients are forecasted using a method or computer software product to improve accuracy in forecasting medical resources, decrease the time required to forecast medical resources, and many other benefits. Desired patient indicia including direct medical indicia, indirect medical indicia, and non-medical indicia are selected to serve as independent variables. At least one chronic pain indication is selected to serve as a dependent variable. A chronic pain forecasting model is created using the patient indicia and the chronic pain indication. The chronic pain forecasting model is applied to a chronic pain patient indicia to create a patient forecast. Many different embodiments of the chronic pain patient dynamic medical resources forecaster method and software product are possible.

US Patent:

20020123670, Sep 5, 2002

Filed:

Apr 27, 2001

Appl. No.:

09/844313

Inventors:

Gary Goetzke - St. Paul MN, US
Thomas Johns - Minneapolis MN, US
Malcolm Reid - St. Paul MN, US
Angeline Carlson - Eden Prairie MN, US

International Classification:

A61B005/00

US Classification:

600/300000, 128/923000

Abstract:

Potential chronic pain patients are identified in a population such as an employer or medical care payer database using a method or computer software product to improve accuracy in identifying potential chronic pain patients, decrease the time required to identify potential chronic pain patient increasing opportunities for early intervention, identify selected potential chronic pain patients based upon preference of stakeholders, and many other benefits. Desired patient indicia including direct medical indicia, indirect medical indicia, and non-medical indicia are selected to serve as independent variables. At least one chronic pain indication is selected to serve as a dependent variable. A chronic pain model is created using the patient indicia and the chronic pain indication. The chronic pain model is applied to the population and potential chronic pain patients are identified by selecting individuals from the population that conform to the chronic pain model. Many different embodiments of the chronic pain patient identification system method and software product are possible.