DR. DAVID E WENNBERG, MD
Osteopathic Medicine at Bramhall St, Portland, ME
License number
Maine 013349
Category
Osteopathic Medicine
Type
Internal Medicine
Address
Address
22 Bramhall St, Portland, ME 04102
Phone
(207) 662-2208
(207) 662-3110 (Fax)
(207) 662-3110 (Fax)
Professional information
David Egmont Wennberg, Portland ME
Specialties:
Internal Medicine
Work:
Center For Outcomes Research & Evaluatio
22 Bramhall St, Portland, ME 04102
22 Bramhall St, Portland, ME 04102
Education:
McGill University Faculty Of Medicine (1987)
Dr. David E Wennberg, Portland ME - MD (Doctor of Medicine)
Specialties:
Internal Medicine
Address:
MAINE MEDICAL CENTER
22 Bramhall St, Portland 04102
(207) 879-8365 (Phone)
MAINE MEDICAL CENTER
22 Bramhall St, Portland 04102
(207) 883-5295 (Phone)
22 Bramhall St, Portland 04102
(207) 662-2208 (Phone), (207) 662-3110 (Fax)
22 Bramhall St, Portland 04102
(207) 879-8365 (Phone)
MAINE MEDICAL CENTER
22 Bramhall St, Portland 04102
(207) 883-5295 (Phone)
22 Bramhall St, Portland 04102
(207) 662-2208 (Phone), (207) 662-3110 (Fax)
Certifications:
Internal Medicine, 1990
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
MAINE MEDICAL CENTER
22 Bramhall St, Portland 04102
22 Bramhall St, Portland 04102
MAINE MEDICAL CENTER
22 Bramhall St, Portland 04102
Maine Medical Center
22 Bramhall St, Portland 04102
22 Bramhall St, Portland 04102
22 Bramhall St, Portland 04102
MAINE MEDICAL CENTER
22 Bramhall St, Portland 04102
Maine Medical Center
22 Bramhall St, Portland 04102
Education:
Medical School
McGill U, Quebec
McGill U, Quebec
Systems And Methods For Predicting Healthcare Risk Related Events
US Patent:
8484085, Jul 9, 2013
Filed:
Sep 14, 2012
Appl. No.:
13/617225
Inventors:
David E. Wennberg - Cape Elizabeth ME, US
Assignee:
Health Dialog Services Corporation - Boston MA
International Classification:
G06Q 10/00, G06Q 50/00
US Classification:
705 20, 705 2
Abstract:
A system for predicting healthcare financial risk including the process of accessing patient data associated with one or more patents, accessing geographic and healthcare system data, filtering the patient data, geographic data, and healthcare system data into clean data, and applying a predictive risk model to the clean data to generate patient profile data and to identify a portion of the patients associated with a level of predicted financial risk.
Systems And Methods For Predicting Healthcare Related Risk Events
US Patent:
2006012, Jun 15, 2006
Filed:
Nov 16, 2005
Appl. No.:
11/280611
Inventors:
David Wennberg - Cape Elizabeth ME, US
International Classification:
G06Q 10/00, G06F 17/10, G06Q 40/00
US Classification:
705002000, 703002000, 705004000
Abstract:
A system for predicting healthcare risk events including the process of accessing patient data associated with one or more patents, accessing geographic and healthcare system data, filtering the patient data, geographic data, and healthcare system data into clean data, and applying a predictive risk model to the clean data to generate patient profile data and to identify a portion of the patients susceptible to one or more risk events.
Systems And Methods For Predicting Healthcare Related Financial Risk
US Patent:
2006012, Jun 15, 2006
Filed:
Nov 16, 2005
Appl. No.:
11/281233
Inventors:
David Wennberg - Cape Elizabeth ME, US
International Classification:
G06Q 10/00, G06F 17/10, G06Q 40/00
US Classification:
705002000, 705004000, 703002000
Abstract:
A system for predicting healthcare financial risk including the process of accessing patient data associated with one or more patents, accessing geographic and healthcare system data, filtering the patient data, geographic data, and healthcare system data into clean data, and applying a predictive risk model to the clean data to generate patient profile data and to identify a portion of the patients associated with a level of predicted financial risk.
Systems And Methods For Analysis Of Healthcare Provider Performance
US Patent:
2007007, Apr 5, 2007
Filed:
Oct 3, 2006
Appl. No.:
11/542574
Inventors:
David Wennberg - Cape Elizabeth ME, US
International Classification:
G06Q 10/00, G06G 7/48
US Classification:
705002000, 703006000
Abstract:
A system for measuring unwarranted healthcare service variations including the process of accessing patient data associated with a patient population, applying a predictive model to the patient data to determine the number of times that a healthcare measure is expected to occur, accessing the patient data to determine the number of times that the healthcare measure occurred, and comparing the number of times that the measure occurred with the number of time that the measure was expected to occur to identify the unwarranted healthcare service variation.
Systems And Methods For Predicting Healthcare Risk Related Events
US Patent:
8290789, Oct 16, 2012
Filed:
Dec 7, 2011
Appl. No.:
13/313601
Inventors:
David E. Wennberg - Cape Elizabeth ME, US
Assignee:
Health Dialog Services Corporation - Boston MA
International Classification:
G06Q 50/00
US Classification:
705 2, 705 1, 705 20
Abstract:
A system for predicting healthcare financial risk including the process of accessing patient data associated with one or more patents, accessing geographic and healthcare system data, filtering the patient data, geographic data, and healthcare system data into clean data, and applying a predictive risk model to the clean data to generate patient profile data and to identify a portion of the patients associated with a level of predicted financial risk.
Systems And Methods For Predicting Healthcare Risk Related Events
US Patent:
2014004, Feb 13, 2014
Filed:
Jul 8, 2013
Appl. No.:
13/936713
Inventors:
David E. Wennberg - Cape Elizabeth ME, US
Assignee:
Health Dialog Services Corporation - Boston MA
International Classification:
G06F 19/00
US Classification:
705 3
Abstract:
A system for predicting healthcare financial risk including the process of accessing patient data associated with one or more patents, accessing geographic and healthcare system data, filtering the patient data, geographic data, and healthcare system data into clean data, and applying a predictive risk model to the clean data to generate patient profile data and to identify a portion of the patients associated with a level of predicted financial risk.