WO2019219550A1 - Appareil et procédé de génération de données cliniques optimisées - Google Patents

Appareil et procédé de génération de données cliniques optimisées Download PDF

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Publication number
WO2019219550A1
WO2019219550A1 PCT/EP2019/062119 EP2019062119W WO2019219550A1 WO 2019219550 A1 WO2019219550 A1 WO 2019219550A1 EP 2019062119 W EP2019062119 W EP 2019062119W WO 2019219550 A1 WO2019219550 A1 WO 2019219550A1
Authority
WO
WIPO (PCT)
Prior art keywords
clinical
data
computer
subjects
data sets
Prior art date
Application number
PCT/EP2019/062119
Other languages
English (en)
Inventor
Jinghan FENG
Tak Ming CHAN
Liang TAO
Choo Chiap Chiau
Original Assignee
Koninklijke Philips N.V.
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
Application filed by Koninklijke Philips N.V. filed Critical Koninklijke Philips N.V.
Publication of WO2019219550A1 publication Critical patent/WO2019219550A1/fr

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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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • 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

Definitions

  • the computer-implemented method may further comprise: acquiring one or more personal attributes of each of the plurality of subjects; classifying each of the plurality of subjects into one of a plurality of subject subgroups based on a personal attribute of the subject; selecting a subject subgroup based on a user input.
  • generating one or more statistical representations may comprise generating, for each of the plurality of subjects in the selected subject subgroup, one or more statistical representation of each of the selected one or more data sets.
  • the computer-implemented method may further comprise: acquiring a rule for calculating a user-derived value for a clinical attribute; and calculating, for each of the one or more subjects, the user-derived value for the clinical attribute based on the acquired rule and the clinical data associated with the subject.
  • an apparatus for generating optimized clinical data comprises a processor configured to: acquire clinical data associated with one or more subjects, wherein the clinical data associated with a subject comprises a plurality of data sets each associated with a clinical attribute of the subject; acquire one or more clinical attribute criteria; select, for each of the one or more subjects, one or more data sets from the plurality of data sets based on the one or more clinical attribute criteria; and generate, for each of the selected one or more data sets, one or more statistical representations of the data set.
  • the limitations of existing techniques are addressed.
  • the above-described aspects and embodiments enable optimized clinical data to be generated by integrating clinical data to provide relevant statistical representations which may be helpful in the context of clinical research or diagnosis.
  • the selection of data sets in the method takes into account clinical attribute criteria which may be set by a user (e.g. a physician) and therefore the analysis of clinical data is easily adaptable according to the data expectations and requirements of the user.
  • the method also improves the efficiency and accuracy for making clinician-adjudicated decisions, e.g. determining an optimal clinical indicator for a target disease, by providing a convenient and intuitive way to gain key insights of a huge amount of available clinical information. There is thus provided an improved method and apparatus for generating optimized clinical data.
  • the apparatus 100 may further comprise at least one user interface 104.
  • at least one user interface 104 may be external to (i.e. separate to or remote from) the apparatus 100.
  • at least one user interface 104 may be part of another device.
  • a user interface 104 may be for use in providing a user of the apparatus 100 with information resulting from the method described herein.
  • the processor 102 may be configured to control one or more user interfaces 104 to render (or output or display) the generated one or more statistical representations of the one or more selected data sets.
  • a user interface 104 may be configured to receive a user input.
  • a user interface 104 may allow a user of the apparatus 100 to manually enter instructions, data, or information.
  • the processor 102 may be configured to acquire the user input from one or more user interfaces 104.
  • FIG. 1 only shows the components required to illustrate an aspect of the apparatus 100 and, in a practical implementation, the apparatus 100 may comprise alternative or additional components to those shown.
  • the processor 102 may be configured to select at block 206, for each of the one or more subjects, only data set(s) that are obtained from the CDR, but not data set(s) obtained from the other available data sources.
  • the processor 102 may be configured to select at block 206, for each of the one or more subjects, only data set(s) associated with clinical attributes that are relevant to the clinical research or diagnosis of AKI.
  • a program code implementing the functionality of the method or system may be sub-divided into one or more sub-routines.
  • the sub-routines may be stored together in one executable file to form a self-contained program.
  • Such an executable file may comprise computer-executable instructions, for example, processor instructions and/or interpreter instructions (e.g. Java interpreter instructions).
  • one or more or all of the sub-routines may be stored in at least one external library file and linked with a main program either statically or dynamically, e.g. at run-time.
  • the main program contains at least one call to at least one of the sub-routines.
  • the sub-routines may also comprise function calls to each other.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

L'invention concerne un procédé mis en œuvre par ordinateur pour générer des données cliniques optimisées. Des données cliniques associées à un ou plusieurs sujets sont acquises, et les données cliniques associées à un sujet comprennent une pluralité d'ensembles de données associés chacun à un attribut clinique du sujet. Un ou plusieurs critères d'attributs cliniques sont acquis. Pour chaque sujet, un ou plusieurs ensembles de données de la pluralité d'ensembles de données sont sélectionnés sur la base du ou des critères d'attributs cliniques. Pour chacun desdits un ou plusieurs ensembles de données sélectionnés, une ou plusieurs représentations statistiques de l'ensemble de données sont générées.
PCT/EP2019/062119 2018-05-17 2019-05-13 Appareil et procédé de génération de données cliniques optimisées WO2019219550A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CNPCT/CN2018/087284 2018-05-17
CN2018087284 2018-05-17

Publications (1)

Publication Number Publication Date
WO2019219550A1 true WO2019219550A1 (fr) 2019-11-21

Family

ID=66530055

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2019/062119 WO2019219550A1 (fr) 2018-05-17 2019-05-13 Appareil et procédé de génération de données cliniques optimisées

Country Status (1)

Country Link
WO (1) WO2019219550A1 (fr)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080275731A1 (en) * 2005-05-18 2008-11-06 Rao R Bharat Patient data mining improvements
US20090138279A1 (en) * 2007-11-23 2009-05-28 General Electric Company Systems, methods and apparatus for analysis and visualization of metadata information
US20110191343A1 (en) * 2008-05-19 2011-08-04 Roche Diagnostics International Ltd. Computer Research Tool For The Organization, Visualization And Analysis Of Metabolic-Related Clinical Data And Method Thereof

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080275731A1 (en) * 2005-05-18 2008-11-06 Rao R Bharat Patient data mining improvements
US20090138279A1 (en) * 2007-11-23 2009-05-28 General Electric Company Systems, methods and apparatus for analysis and visualization of metadata information
US20110191343A1 (en) * 2008-05-19 2011-08-04 Roche Diagnostics International Ltd. Computer Research Tool For The Organization, Visualization And Analysis Of Metabolic-Related Clinical Data And Method Thereof

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