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WO2005110029A3 - Method and apparatus for real time predictive modeling for chronically ill patients - Google Patents

Method and apparatus for real time predictive modeling for chronically ill patients Download PDF

Info

Publication number
WO2005110029A3
WO2005110029A3 PCT/US2005/015877 US2005015877W WO2005110029A3 WO 2005110029 A3 WO2005110029 A3 WO 2005110029A3 US 2005015877 W US2005015877 W US 2005015877W WO 2005110029 A3 WO2005110029 A3 WO 2005110029A3
Authority
WO
WIPO (PCT)
Prior art keywords
chronically ill
ill patients
patient
care
patients
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2005/015877
Other languages
French (fr)
Other versions
WO2005110029A2 (en
Inventor
Richard Rosen
Ian Hunter
Leo Peter Espindle
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
INTERMED ADVISOR Inc
Original Assignee
INTERMED ADVISOR Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US11/074,425 external-priority patent/US20060025931A1/en
Application filed by INTERMED ADVISOR Inc filed Critical INTERMED ADVISOR Inc
Priority to JP2007511641A priority Critical patent/JP2007536645A/en
Priority to EP05750636A priority patent/EP1810197A4/en
Priority to CA002565918A priority patent/CA2565918A1/en
Publication of WO2005110029A2 publication Critical patent/WO2005110029A2/en
Anticipated expiration legal-status Critical
Publication of WO2005110029A3 publication Critical patent/WO2005110029A3/en
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

Various embodiments of the present invention are directed to a method and apparatus for improving the care of patients (e.g., chronically ill patients). In one example (which example is intended to be illustrative and not restrictive), the invention may be designed to improve such care through real time output (e.g., periodic, such as hourly, daily, weekly or monthly) to deter development of co-morbidities associated with many chronic diseases. Various embodiments of the invention may improve the care of chronically ill patients by: easing' data collection, simplifying data transmission, efficiently interpreting chronically ill patient information, providing time series to form the basis of subsequent analysis, expanding the ability of the chronically ill patient or other user of the invention to understand the relationship between the medical practice and the patient's own lifestyle and/or easing the workload of healthcare providers (such as the patient's physician). In this regard, the invention may help in creating dialogue between chronically ill patients and healthcare providers that otherwise would be impossible.
PCT/US2005/015877 2004-05-07 2005-05-06 Method and apparatus for real time predictive modeling for chronically ill patients Ceased WO2005110029A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2007511641A JP2007536645A (en) 2004-05-07 2005-05-06 Real-time predictive modeling method and apparatus for patients with chronic diseases
EP05750636A EP1810197A4 (en) 2004-05-07 2005-05-06 Method and apparatus for real time predictive modeling for chronically ill patients
CA002565918A CA2565918A1 (en) 2004-05-07 2005-05-06 Method and apparatus for real time predictive modeling for chronically ill patients

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US56915104P 2004-05-07 2004-05-07
US60/569,151 2004-05-07
US59262304P 2004-07-30 2004-07-30
US60/592,623 2004-07-30
US11/074,425 US20060025931A1 (en) 2004-07-30 2005-03-08 Method and apparatus for real time predictive modeling for chronically ill patients
US11/074,425 2005-03-08

Publications (2)

Publication Number Publication Date
WO2005110029A2 WO2005110029A2 (en) 2005-11-24
WO2005110029A3 true WO2005110029A3 (en) 2007-05-31

Family

ID=35394594

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2005/015877 Ceased WO2005110029A2 (en) 2004-05-07 2005-05-06 Method and apparatus for real time predictive modeling for chronically ill patients

Country Status (4)

Country Link
EP (1) EP1810197A4 (en)
JP (1) JP2007536645A (en)
CA (1) CA2565918A1 (en)
WO (1) WO2005110029A2 (en)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5388580B2 (en) * 2005-11-29 2014-01-15 ベンチャー ゲイン リミテッド ライアビリティー カンパニー Residue-based management of human health
US20080235049A1 (en) * 2007-03-23 2008-09-25 General Electric Company Method and System for Predictive Modeling of Patient Outcomes
JP5219700B2 (en) * 2008-09-01 2013-06-26 オムロンヘルスケア株式会社 Biometric index management device
JP5083297B2 (en) * 2009-11-18 2012-11-28 セイコーエプソン株式会社 Predictive blood sugar level calculating device, predictive blood sugar level calculating method and program
US8460220B2 (en) * 2009-12-18 2013-06-11 General Electric Company System and method for monitoring the gait characteristics of a group of individuals
US20140309511A1 (en) * 2011-12-06 2014-10-16 Dianovator Ab Medical arrangements and a method for prediction of a value related to a medical condition
KR101710752B1 (en) * 2014-06-24 2017-02-28 경희대학교 산학협력단 System and method of emergency telepsychiatry using emergency psychiatric mental state prediction model
WO2015199258A1 (en) * 2014-06-25 2015-12-30 삼성전자 주식회사 Diagnosis model generation system and method
US9652712B2 (en) 2015-07-27 2017-05-16 Google Inc. Analyzing health events using recurrent neural networks
US20170032241A1 (en) * 2015-07-27 2017-02-02 Google Inc. Analyzing health events using recurrent neural networks
US9336482B1 (en) 2015-07-27 2016-05-10 Google Inc. Predicting likelihoods of conditions being satisfied using recurrent neural networks
EP3131038A1 (en) * 2015-08-14 2017-02-15 Universite De Liege A prediction device
US10956821B2 (en) 2016-11-29 2021-03-23 International Business Machines Corporation Accurate temporal event predictive modeling
GB201817893D0 (en) * 2018-11-01 2018-12-19 Imperial Innovations Ltd Predicting physological parameters
US11707217B2 (en) * 2019-01-08 2023-07-25 Iluria Ltd. Diagnosis and effectiveness of monitoring attention deficit hyperactivity disorder
CN112971791B (en) * 2020-03-23 2024-04-05 北京海思瑞格科技有限公司 Individuation physiological state monitoring and analyzing method and equipment
CN114676176B (en) * 2022-03-24 2024-07-26 腾讯科技（深圳）有限公司 Method, device, equipment and program product for predicting time sequence
CN117409984B (en) * 2023-09-21 2024-07-02 山东第一医科大学附属省立医院 Diabetes follow-up management system, device, electronic equipment and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5311876A (en) * 1992-11-18 1994-05-17 The Johns Hopkins University Automatic detection of seizures using electroencephalographic signals
US6882940B2 (en) * 2000-08-18 2005-04-19 Cygnus, Inc. Methods and devices for prediction of hypoglycemic events

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5311876A (en) * 1992-11-18 1994-05-17 The Johns Hopkins University Automatic detection of seizures using electroencephalographic signals
US6882940B2 (en) * 2000-08-18 2005-04-19 Cygnus, Inc. Methods and devices for prediction of hypoglycemic events

Also Published As

Publication number Publication date
JP2007536645A (en) 2007-12-13
EP1810197A2 (en) 2007-07-25
WO2005110029A2 (en) 2005-11-24
CA2565918A1 (en) 2005-11-24
EP1810197A4 (en) 2009-08-05

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