WO2004013771A1 - Systeme et procede de visualisation de donnees biologiques - Google Patents

Systeme et procede de visualisation de donnees biologiques Download PDF

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Publication number
WO2004013771A1
WO2004013771A1 PCT/NZ2003/000170 NZ0300170W WO2004013771A1 WO 2004013771 A1 WO2004013771 A1 WO 2004013771A1 NZ 0300170 W NZ0300170 W NZ 0300170W WO 2004013771 A1 WO2004013771 A1 WO 2004013771A1
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WO
WIPO (PCT)
Prior art keywords
data
biological
representation
values
visualisation
Prior art date
Application number
PCT/NZ2003/000170
Other languages
English (en)
Inventor
Paul Cardno
Craig Gordon
Nicholas John Mulgan
Andreas Mahn
Original Assignee
Compudigm International Limited
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 Compudigm International Limited filed Critical Compudigm International Limited
Priority to AU2003258894A priority Critical patent/AU2003258894A1/en
Publication of WO2004013771A1 publication Critical patent/WO2004013771A1/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
    • 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
    • G16H40/63—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 local 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
    • 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
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies
    • 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

Definitions

  • the invention relates to a biological data visualisation system and method, particularly but not solely designed for the display of predefined biological parameters, known as biomarkers.
  • a biomarker is a biological parameter.
  • a biomarker is a specific anatomic, physiological, or biochemical parameter that is capable of being measured in humans or animals.
  • Measurement of such parameters or biomarkers in human or animal patients will often indicate particular medical conditions or levels of risk of developing particular medical conditions and may also indicate the presence and severity of particular diseases.
  • the invention comprises a biological data visualisation system comprising a plurality of data values maintained in computer memory, the data values representing biological parameter values relating to one or more patients; a value calculator configured to generate a set of differential data values representing the difference between measured biological parameter values for a patient and benchmark values for a plurality of biological parameters; a visualisation component configured to generate a representation including one or more data points, each data point corresponding to a biological parameter having associated differential data values calculated for a patient; a display configured to display the representation generated by the visualisation component; and a contour generator configured to generate one or more contour lines and display them on the display around each data point in the representation.
  • the invention comprises a biological data visualisation method comprising the steps of maintaining a plurality of data values in computer memory, the data values representing biological parameter values relating to one or more patients; generating a set of differential data values representing the difference between measured biological parameter values and benchmark parameter values for a plurality of biological parameters for a patient; generating and displaying a representation including one or more data points each corresponding to a biological parameter having an associated differential data value; and generating and displaying one or more contour lines around each biological parameter in the representation, each contour line representing data values which are less than the absolute value of the associated differential data value.
  • Figure 1 shows a block diagram of a system in which one form of the invention may be implemented
  • FIG. 2 is a preferred representation generated in accordance with the invention.
  • FIG. 3 is a preferred representation generated in accordance with the invention.
  • Figure 4 is a further preferred form representation generated in accordance with the invention.
  • Figure 1 illustrates a block diagram of the preferred system 10 in which one form of the present invention may be implemented.
  • the system includes a data repository 20, for example a data warehouse maintained in a memory. It is envisaged that the data repository may alternatively comprise a single database, a collection of databases, or a data mart.
  • the preferred data repository 20 includes data from a variety of sources, although it is envisaged that the bulk of the data relates to predefined biological parameters or biomarkers for a patient.
  • This data could be obtained from several different sources.
  • One such source could be medical assessment apparatus 30 configured to measure various biomarker parameters for an individual patient. The results of the assessment may then be automatically or manually transmitted to the data repository 20.
  • the data sources could also include patient history data 40 obtained from individual patients and could include population data 50.
  • the system 10 includes a personal computer or workstation 60 operating under the control of appropriate operating and application software having a data memory 70 connected to a server 80.
  • Various further components are either stored on the workstation 60 or at least interfaced to the workstation, for example a value calculator 90, a display 100, a visualisation component 110 and a contour generator 120. Each of these components could be implemented in software or hardware or a combination of both and are further described below.
  • the system may also include one or more clients 130, for example 130A, 130B, and 130C.
  • a client could comprise a personal computer, workstation or other computing device and could be interfaced to the workstation 60 over a traditional network 140, a wireless network 150 or the Internet 160.
  • a user may then access the invention either via a client 130 or by accessing workstation 60 directly.
  • the invention is arranged to retrieve data from the data repository 20, process the data at workstation 60 in co-operation with associated components 90, 100, 110, and 120 and to either transmit and display the data on a client 130 or to simply display the data on workstation 60, as will be described below.
  • biomarkers used in the exemplary embodiments all measure bio-age, that is, they are indicators of the biological age of a patient as opposed to the chronological age of a patient. For example, a 70 year old patient may have a bio-age of 65 for one or more neurological biomarkers, while having a bio-age of 75 for one or more cardio-vascular biomarkers.
  • bio-age biomarkers may be analysed in groups to assess particular areas of concern for a patient and may also be combined to calculated an overall bio-age for the patient.
  • each biomarker is assessed for a patient through a series of bio-age assessment tests.
  • Each biomarker is represented through a bio-age data value and the value calculator 90 compares this bio-age with the actual chronological age of the patient for each parameter.
  • the value calculator 90 calculates a series of differential data values representing the difference between the measured biological parameter values and benchmark parameter values representing the actual chronological age of the patient.
  • the differential value for the biomarker will be the difference between the levels for the patient and a benchmark, average or "normal" level.
  • the biomarkers are displayed in one or more representations for a patient or group of patients, which are described below with reference to Figures 2, 3, and 4.
  • the representations generated by the invention are complementary and may be used together to gain a more complete picture of patient condition.
  • the primary means of visualisation is a contoured "heat map”.
  • Biomarker data points are displayed in particular positions on the representation as described below. Each data point on the representation represents a particular biomarker for which the patient or patients have been assessed.
  • the heat map is formed by displaying one or more contour lines around the biomarker data points such that each contour line represents data values which are less than the absolute value of the associated differential data value for the patient or group of patients. Shading between contour lines may also be used.
  • biomarker data points are represented as small circles that are large enough so that a user may click on them with a mouse or select them with any other pointing device for drilldown.
  • Drilling down a data point may result in detailed information about the corresponding biomarker and/or the measurement or assessment of that biomarker for the particular patient or group of patients being displayed by the display component 100.
  • Circles that represent biomarker data points in the representations generated by the invention may be shaded or outlined with a colour, or with a line of a particular thickness to indicated further attributes of that biomarker.
  • Figure 2 illustrates one preferred form representation 200 generated by the visualisation component 110 and the contour generator 120 and displayed by the display component 100 on a client 130 or on workstation 60.
  • the representation could include a representation of the patient, for example a silhouette or outline 210 of the body. It is envisaged that the outline may show a male or female patient depending on the gender of the patient for which the data is being displayed.
  • biomarkers which relate to a region or location on the body are referred to as site- specific parameters.
  • Site-specific parameters that can be sensibly shown by their location on the human body are included in this preferred form representation.
  • Most biomarkers which are site-specific relate to internal organs and corresponding data points will be placed within the representation in a position consistent with the location of that organ in the patients body.
  • Each biomarker data point for example biomarker data point 220 representing the biological parameter bone density, is shown as a small circle as described above. Further information could be provided through labels on individual biomarkers, on groups of biomarkers, or as additional text.
  • the visualisation component 110 from Figure 1 is configured to generate the representation and position the data points and the contour generator 120 will then generate contours around the biomarker data points.
  • the area between a data point and the closest contour line will be shaded or coloured as will the area between subsequent contour lines.
  • the preferred form colour scale is a nine step colour scale with break points as shown in Figure 2 at 230.
  • the values associated with the break points could be given as years above/below the patient chronological age.
  • a biomarker having a differential data value of +10 indicates that the bio-age for the biomarker is 10 years above the patient's chronological age. In this case the area between the biomarker data point on the representation and the closest contour line will be shaded with a colour from the top end of the colour scale.
  • a differential data value of -10 indicates that the bio-age for this biomarker is 10 years below the patient's chronological age. In this case the area between the biomarker data point and the closest contour line will be a colour from the bottom end of the colour scale.
  • the colour scale could be calibrated on the basis of patient specific age. For example, if the patient has a chronological age of 50, the values in the colour scale legend could range between 40 and 60.
  • the colour scale be a bi-polar colour scale from a strong intense red representing bio-age higher than chronological age to a muted green indicating that the bio-age is below the chronological age.
  • a strong intense red representing bio-age higher than chronological age to a muted green indicating that the bio-age is below the chronological age.
  • this representation would reveal patterns or irregularities. For example, all heart-related biomarkers could be high, or some of them might be high whereas others are low, although this is something which would be checked against patient history to judge its validity.
  • biomarkers will have a more prominent visual weight than others in cases where the biomarker is placed ih isolation as distinct from a biomarker presented in a cluster.
  • the contour generated around each data point be fitted to the silhouette 210.
  • the contoured representation around data point 240 is fitted to the shape of the patient hand so that the contour lines do not extend beyond the silhouette 210.
  • the contouring function define data values for the contouring lines based on an x and y position in the representation, and that the data values for some x and y values which fall outside the silhouette 210 are set to zero.
  • Figure 2 indicates areas on the body for which particularly good or bad results have come back from the assessment, but it does not adequately represent biological parameters that cannot be accurately located on one particular location in or on the patient body, referred to as systemic parameters.
  • Figure 3 illustrates another preferred form representation which may be used to represent both site-specific and systemic biological parameters.
  • one or more of the biological parameters form two or more groups.
  • the grouping of the biomarkers in this type of representation will preferably be indicative of any relationships between biomarkers and/or the biological systems or indicators they represent.
  • each group represents a test category or location in the body or a sub-system, allowing for easy labelling.
  • Groups could include, for example endocrine 310, digestive 320, pulmonary 330 and hearing 340. This representation will preferably complement any representation of the type illustrated in Figure 2 in that it will give information for all biomarkers, independent of their actual location in or on the body.
  • the representation is preferably arranged so that biological parameters in the same group are positioned closer to each other than to biological parameters in a different group.
  • biomarker 350 is positioned from biomarker 360 by a distance d. This distance d is preferably less than the distance between a biomarker in the hearing group 340 and a biomarker in any of the neighbouring groups, for example the distance between biomarker 370 and biomarker 380.
  • each biomarker is placed so that the maximal amount of available drawing space or screen area is used and that the resulting layout generally resembles a hexagonal pattern.
  • biomarkers are grouped by sub-system and the representation of Figure 3 enables physiologically-related biomarkers to be placed in close proximity to each other, even where these biomarkers do not relate to areas of the body in close proximity.
  • FIG. 4 illustrates further preferred form representations 400 and 400A.
  • each biomarker is preferably ranked by data differential value.
  • Corresponding data points are ordered and displayed in a regular grid.
  • biomarkers could be ordered by differential values in age and then placed in a grid according to their rank with the lowest age 410 on the bottom left and the highest age 420 on the top right. In one form, there could be a maximum number of 130 biomarkers and a width of five or six columns is generally an acceptable size for this number.
  • biomarkers could be ranked by criteria other than differential values and age, for example absolute biological age, patient ranking within a statistical cohort, or any other suitable criteria may be used.
  • This ranked representation gives an instant picture of all test or assessment results. There may be a balanced picture, with all bands being roughly the same width as in representation 400, or there may be one or more bands that are significantly wider or narrower than others.
  • representation 400A for example, the +10 ban includes significantly more data points than in representation 400 indicating a lot of biomarkers returning high levels. In the exemplary embodiments this may mean, for example, that many biomarkers are above the chronological age of the patient.
  • This ranked representation may also be used to get an impression of the overall severity of the results which may be indicated by highlighting or marking one data point in the ranking that indicates an average or overall result from analysing the combination of biological parameters. For example, one data point in the ranking that indicates an overall benchmark data value or an overall zero differential value may be highlighted as well as another data point that best represents the overall differential value for a patient over all biological parameters. The distance between these two points in the ranking will give a good indication of overall results.
  • a central data point is highlighted indicating the chronological age of the patient.
  • a further data point is also highlighted indicating the overall bio-age of the patient.
  • the data point representing the overall bio-age is noticeably closer to the higher range of the data point ranking than in representation 400 and this result is easily observed and understood.
  • the representation illustrated in Figure 4 may also give an impression of the variants of values. Results that are mainly distributed around one particular data value will show up as only a few colours, whereas results across a wide range of values will use the full colour scale.

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

Abstract

L'invention concerne un système de visualisation de données biologiques comprenant une pluralité de valeurs de données stockées dans la mémoire d'un ordinateur, lesdites valeurs de données représentant des valeurs de paramètres biologiques concernant un ou plusieurs patients ; un calculateur de valeurs configuré pour produire un jeu de données différentielles représentant la différence entre des valeurs de paramètres biologiques mesurés pour un patient et des valeurs de référence pour une pluralité de paramètres biologiques ; un élément de visualisation configuré pour produire une représentation intégrant un ou plusieurs points de données, chaque point de données correspondant à un paramètre biologique ayant des valeurs de données différentielles associées calculées pour un patient ; un écran configuré pour afficher la représentation produite par l'élément de visualisation ; et un générateur de contours configuré pour produire une ou plusieurs lignes de contour et les afficher sur l'écran autour de chaque point de données dans la représentation. L'invention concerne également un procédé correspondant.
PCT/NZ2003/000170 2002-08-01 2003-08-01 Systeme et procede de visualisation de donnees biologiques WO2004013771A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2003258894A AU2003258894A1 (en) 2002-08-01 2003-08-01 Biological data visualisation system and method

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
NZ520499 2002-08-01
NZ520499A NZ520499A (en) 2002-08-01 2002-08-01 Biological data visualisation system and method

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WO2004013771A1 true WO2004013771A1 (fr) 2004-02-12

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8235811B2 (en) 2007-03-23 2012-08-07 Wms Gaming, Inc. Using player information in wagering game environments

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5311873A (en) * 1992-08-28 1994-05-17 Ecole Polytechnique Comparative analysis of body surface potential distribution during cardiac pacing
US5427113A (en) * 1988-02-20 1995-06-27 Hiroshi; Motoyama Biological information measuring system
US5995864A (en) * 1997-09-19 1999-11-30 Lockheed Martin Idaho Technologies Company Dose factor entry and display tool for BNCT radiotherapy

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5427113A (en) * 1988-02-20 1995-06-27 Hiroshi; Motoyama Biological information measuring system
US5311873A (en) * 1992-08-28 1994-05-17 Ecole Polytechnique Comparative analysis of body surface potential distribution during cardiac pacing
US5995864A (en) * 1997-09-19 1999-11-30 Lockheed Martin Idaho Technologies Company Dose factor entry and display tool for BNCT radiotherapy

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8235811B2 (en) 2007-03-23 2012-08-07 Wms Gaming, Inc. Using player information in wagering game environments
US9619969B2 (en) 2007-03-23 2017-04-11 Bally Gaming, Inc. Using player information in wagering game environments

Also Published As

Publication number Publication date
NZ520499A (en) 2005-03-24
AU2003258894A1 (en) 2004-02-23

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