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1. EP0917078 - Disease management method and system

Office European Patent Office
Application Number 97308240
Application Date 14.10.1997
Publication Number 0917078
Publication Date 19.05.1999
Publication Kind A1
IPC
G06F 9/44
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
9Arrangements for program control, e.g. control units
06using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
44Arrangements for executing specific programs
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
A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
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
G06Q 50/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
CPC
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
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 50/30
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 CORP
Inventors BOYKO DAVID ALEXANDER
GALLO EDWARD FRANCIS
LANGER DENNIS
PRESS BRUCE
STAVRAKAS SPYROS
ON WONG BRUCE JAN
Designated States
Priority Data 97308240 14.10.1997 EP
2707496 30.09.1996 US
Title
(DE) Verfahren und System zur Krankheitsverwaltung
(EN) Disease management method and system
(FR) Méthode et système 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 Modelling 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.