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John W Borg, 756612 Limerick Dr, Minneapolis, MN 55439

Known as:
John W Org
Related to:
Maureen C Rendahl 72 Richard P Rendahl 79

John Borg Phones & Addresses

6612 Limerick Dr, Minneapolis, MN 55439    952-9419264    952-9443759   

St Louis Park, MN   

Dassel, MN   

Edina, MN   

Saint Paul, MN   

Darwin, MN   

North Hollywood, CA   

Rio Verde, AZ   

4300 Robbins Lndg N APT 604, Minneapolis, MN 55422   

Work

Address: 6612 Limerick Dr, Edina, MN 55439

Ranks

Licence: Minnesota - Authorized to practice Date: 1975
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Mentions for John W Borg

Career records & work history

Lawyers & Attorneys

John Borg Photo 1

John Borg - Lawyer

Specialties:
Alternative Dispute Resolution
ISLN:
908909726
Admitted:
1975
University:
Bemidji State University, B.S.
Law School:
William Mitchell College of Law, J.D.
John Borg Photo 2

John W Borg, Edina MN - Lawyer

Address:
6612 Limerick Dr, Edina, MN 55439
Licenses:
Minnesota - Authorized to practice 1975
John Borg Photo 3

John W. Borg, Edina MN - Lawyer

Office:
6612 Limerick Drive, Edina, MN
ISLN:
908909726
Admitted:
1975
University:
Bemidji State University, B.S.
Law School:
William Mitchell College of Law, J.D.

Resumes & CV records

Resumes

John Borg Photo 48

John Borg

Location:
United States
John Borg Photo 49

John Borg

Location:
United States

Publications & IP owners

Wikipedia

John Borg Photo 50

Body Language

John Borg attests that human communication consists of 93 percent body language and paralinguistic cues, while only 7% of communication consists of words ...

Us Patents

Chronic Pain Patient Risk Stratification System

US Patent:
2002012, 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.

Chronic Pain Patient Identification System

US Patent:
2002012, 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.

Possible Relatives

David C Borg  Dean Borg  Danielle M Borg  Danny M Borg  Dennis L Borg  Diana L Borg  John M Johnson  John Stamps  John R Stan 

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