WO2014052921A3 - Patient health record similarity measure - Google Patents

Patient health record similarity measure Download PDF

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Publication number
WO2014052921A3
WO2014052921A3 PCT/US2013/062460 US2013062460W WO2014052921A3 WO 2014052921 A3 WO2014052921 A3 WO 2014052921A3 US 2013062460 W US2013062460 W US 2013062460W WO 2014052921 A3 WO2014052921 A3 WO 2014052921A3
Authority
WO
WIPO (PCT)
Prior art keywords
patient
methods
similarity measure
health record
patient health
Prior art date
Application number
PCT/US2013/062460
Other languages
French (fr)
Other versions
WO2014052921A2 (en
Inventor
Lewis FREY
Leslie LENERT
Original Assignee
University Of Utah Research Foundation
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 US13/629,465 external-priority patent/US20140089003A1/en
Priority claimed from US13/629,473 external-priority patent/US20140089004A1/en
Application filed by University Of Utah Research Foundation filed Critical University Of Utah Research Foundation
Publication of WO2014052921A2 publication Critical patent/WO2014052921A2/en
Publication of WO2014052921A3 publication Critical patent/WO2014052921A3/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT 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

Abstract

Computer-implemented methods for determining optimal treatments for a patient can include identifying successful treatments used in cohorts of persons considered similar to the patient. Tools implementing such methods can use biological sequence analysis techniques to identify practices best suited for the patient. The subject technology relates to methods of identifying effective treatments for patients using biological sequence analysis techniques.
PCT/US2013/062460 2012-09-27 2013-09-27 Patient health record similarity measure WO2014052921A2 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US13/629,465 US20140089003A1 (en) 2012-09-27 2012-09-27 Patient health record similarity measure
US13/629,473 US20140089004A1 (en) 2012-09-27 2012-09-27 Patient cohort laboratory result prediction
US13/629,473 2012-09-27
US13/629,465 2012-09-27

Publications (2)

Publication Number Publication Date
WO2014052921A2 WO2014052921A2 (en) 2014-04-03
WO2014052921A3 true WO2014052921A3 (en) 2014-07-31

Family

ID=50389159

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2013/062460 WO2014052921A2 (en) 2012-09-27 2013-09-27 Patient health record similarity measure

Country Status (1)

Country Link
WO (1) WO2014052921A2 (en)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10180777B2 (en) 2014-09-03 2019-01-15 Optum, Inc. Healthcare similarity engine dashboard
US10796235B2 (en) 2016-03-25 2020-10-06 Uptake Technologies, Inc. Computer systems and methods for providing a visualization of asset event and signal data
US10431343B2 (en) 2016-05-23 2019-10-01 Koninklijke Philips N.V. System and method for interpreting patient risk score using the risk scores and medical events from existing and matching patients
US20210217530A1 (en) * 2018-02-09 2021-07-15 Axion Research Inc. System for estimating the state of target complex system
US11610688B2 (en) * 2018-05-01 2023-03-21 Merative Us L.P. Generating personalized treatment options using precision cohorts and data driven models
US11373758B2 (en) * 2018-09-10 2022-06-28 International Business Machines Corporation Cognitive assistant for aiding expert decision
US20220361779A1 (en) * 2021-05-17 2022-11-17 Dexcom, Inc. Systems for Determining Similarity of Sequences of Glucose Values
CN113707255B (en) * 2021-08-31 2023-09-26 平安科技(深圳)有限公司 Health guidance method, device, computer equipment and medium based on similar patients

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070106536A1 (en) * 2003-08-01 2007-05-10 Moore James F Opml-based patient records
US20090203533A1 (en) * 2005-07-08 2009-08-13 Siemens Medicals Solutions Diagnositcs Gmbh Methods and Kits for Predicting and Monitoring Direct Response to Cancer Therapy
US20100312798A1 (en) * 2007-12-28 2010-12-09 Koninklijke Philips Electronics N.V. Retrieval of similar patient cases based on disease probability vectors
US20110041080A1 (en) * 2009-07-16 2011-02-17 Bluefin Lab, Inc. Displaying Estimated Social Interest in Time-based Media
US20120010867A1 (en) * 2002-12-10 2012-01-12 Jeffrey Scott Eder Personalized Medicine System
US20120016206A1 (en) * 2010-07-16 2012-01-19 Navya Network Inc. Treatment decision engine with applicability measure

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120010867A1 (en) * 2002-12-10 2012-01-12 Jeffrey Scott Eder Personalized Medicine System
US20070106536A1 (en) * 2003-08-01 2007-05-10 Moore James F Opml-based patient records
US20090203533A1 (en) * 2005-07-08 2009-08-13 Siemens Medicals Solutions Diagnositcs Gmbh Methods and Kits for Predicting and Monitoring Direct Response to Cancer Therapy
US20100312798A1 (en) * 2007-12-28 2010-12-09 Koninklijke Philips Electronics N.V. Retrieval of similar patient cases based on disease probability vectors
US20110041080A1 (en) * 2009-07-16 2011-02-17 Bluefin Lab, Inc. Displaying Estimated Social Interest in Time-based Media
US20120016206A1 (en) * 2010-07-16 2012-01-19 Navya Network Inc. Treatment decision engine with applicability measure

Also Published As

Publication number Publication date
WO2014052921A2 (en) 2014-04-03

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