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1. CA2216681 - DISEASE MANAGEMENT METHOD AND SYSTEM

Office
Canada
Application Number 2216681
Application Date 29.09.1997
Publication Number 2216681
Publication Date 30.03.1998
Publication Kind A1
IPC
G06F 19/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
19Digital computing or data processing equipment or methods, specially adapted for specific applications
A61G 12/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
GTRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
12Accommodation for nursing, e.g. in hospitals, not covered by groups A61G1/-A61G11/120; Prescription lists
CPC
G06F 19/325
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
19Digital computing or data processing equipment or methods, specially adapted for specific applications
30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
324Management of patient independent data, e.g. medical references in digital format
325Medical practices, e.g. general treatment protocols
G16H 10/60
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
60for patient-specific data, e.g. for electronic patient records
G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
30for calculating health indices; for individual health risk assessment
G16H 50/50
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
50for simulation or modelling of medical disorders
G16H 50/70
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
70for mining of medical data, e.g. analysing previous cases of other patients
Applicants SMITHKLINE BEECHAM CORPORATION
Inventors LANGER, DENNIS
WONG, BRUCE JAN ON
PRESS, BRUCE
BOYKO, DAVID ALEXANDER
STAVRAKAS, SPYROS
GALLO, EDWARD FRANCIS
Priority Data 60/027,074 30.09.1996 US
Title
(EN) DISEASE MANAGEMENT METHOD AND SYSTEM
(FR) METHODE ET SYSTEME DE GESTION DES MALADIES
Abstract
(EN)
The Disease Management system and method includes a Patient Medical Information source 100, a Predictive Health Outcome Modeling process 102, a process for Intervention of At-risk Patients 103, and a source of disease management Modeling Guidelines 104. The Patient Medical Information source 101 is a database containing medical records of patients who participate in a healthcare provider's program. The Predictive Health Outcome Modeling process 102 produces a statistical model used to predict whether a patient with a particular disease is likely to suffer an adverse health outcome. The Intervention of At-risk Patients process 103 derives a list of at-risk patients who have a high risk of suffering an adverse health outcome and intervenes in the selected patient's healthcare treatment to decrease the possibility of such an adverse health outcome. The Predictive Health Outcome Modeling process 102 1) receives a sample group of patient medical data from the Patient Medical Information database 100 for a given disease, 2) receives pre-determined statistical information for generating predictive models, shown as the Modeling Guidelines 104, and 3) generates a particular predictive model for a particular disease to determine the probability of an adverse health outcome. The Intervention of At-risk Patients process 103 1) receives the predictive model provided by the Predictive Health Outcome Modeling process 102, 2) analyzes the individual patient specific medical data from the Patient Medical Information database 100, and 3) identifies a list of current patients that are at-risk of an adverse health outcome for a particular disease. The Intervention of At-risk Patients 103 process intervenes in the treatment process of the patients contained in the patient list through contact with the patient, physician, or healthcare provider, and the process requires externally generated information about treatment regimens for given stages of disease progression, as well as particular interventions.