WO2022159993A1 - Procédé d'ordonnancement de données concernant la santé - Google Patents

Procédé d'ordonnancement de données concernant la santé Download PDF

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Publication number
WO2022159993A1
WO2022159993A1 PCT/AT2021/060459 AT2021060459W WO2022159993A1 WO 2022159993 A1 WO2022159993 A1 WO 2022159993A1 AT 2021060459 W AT2021060459 W AT 2021060459W WO 2022159993 A1 WO2022159993 A1 WO 2022159993A1
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WO
WIPO (PCT)
Prior art keywords
value
values
body part
inverted
user
Prior art date
Application number
PCT/AT2021/060459
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German (de)
English (en)
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WO2022159993A9 (fr
Inventor
Fabian LICHTENSTEIN
Original Assignee
Blockhealth Gmbh
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.)
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Publication of WO2022159993A1 publication Critical patent/WO2022159993A1/fr
Publication of WO2022159993A9 publication Critical patent/WO2022159993A9/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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/34—Browsing; Visualisation therefor
    • G06F16/345—Summarisation for human users
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9038—Presentation of query results
    • 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
    • G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • 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
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • 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
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • the invention relates to a method for processing medical data according to the preamble of claim 1 .
  • Possible medical data are mentioned as examples in the preamble of claim 1 .
  • a measured value is to be understood as meaning a value of a body part that can be determined by means of a physical or chemical method, in particular a chemical or physical measuring method.
  • a measured value can be, for example, a pulse measured on the wrist, a heart rate measured on the heart, or a blood count.
  • the measured value includes a body attribute, which body attribute describes the body part on which body part the measured value is determined.
  • a measured value can be measured using a sensor.
  • the sensor can be a measuring device or a human touch organ.
  • a diagnostic value is a value which a medical specialist determines via a diagnosis.
  • the subjectively determined diagnostic value can include a word or a numerical value.
  • the diagnostic value as a body attribute includes information about the body part, which body part the medical specialist diagnoses.
  • ICD codes are defined by the WHO and essentially describe the health conditions of body parts.
  • An ICD code describes a disease of a part of the body.
  • An ICD code, as defined by the WHO, includes a Body Attribute , which body attribute describes the affected body part .
  • DE10316298 discloses a method for checking medical data. Structuring of the medical data is proposed in this document, with this structuring being limited to referencing between the individual data. There is no reference in this document to arranging the data taking into account a current medical issue.
  • WO02/33645 discloses a method for generating medical decisions based on medical data. This method does not include the step of arranging the medical data taking into account a current medical question.
  • EP0600081 discloses a method for creating medical treatments based on entered medical data.
  • EP1946235 describes a method for processing medical processes and for generating medical decisions.
  • EP3215968 mentions a method for naming parts of interest in a medical study.
  • Methods for processing medical data are all subject to the fundamental problem that, from a large number of medical data, the respective question and/or data relevant to treatment by a medical specialist must be selected in order to be able to guarantee effective treatment of a person.
  • the medical specialists have special, in-depth training in a specific, narrow area in order to be able to answer special medical questions and to be able to propose medical treatment on this basis.
  • the processing of medical data requires consideration of the individual situation.
  • the method disclosed below sets itself the technical task of preparing a large number of data in such a way that a medical specialist can quickly and efficiently obtain an overview depending on the individual situation.
  • the basic solution of the method according to the invention provides that the values are sorted, among other things, depending on the affected body parts.
  • the method disclosed herein can be performed as a computer-implemented method.
  • the values can be displayed in list form on a monitor.
  • the method can also include a graphic design for processing the values.
  • the health data can be processed on a computer or in a computer system according to the state of the art.
  • the method discussed below is in no way limited to the display and presentation of the values.
  • the display and the presentation of the values take place according to methods according to the current teaching.
  • the procedure discussed below is aimed at the creation of a classification system according to which classification system the display and the presentation of the values takes place.
  • a priority factor is assigned to each value, which priority factor is determined by selecting a numerical value or by adding or multiplying or subtracting or dividing at least two numerical values from the following group of numerical values, so that a Classification system of values arranged according to the priority factor is created :
  • the classification system has the technical effect that the data is presented in a sequence.
  • the terms of order used in the context of the revelation or in the broader sense of the order system and the ranking thus have an overlapping effect.
  • the measured values, the diagnostic values and the ICD code are entered as values, so to speak.
  • the method according to the invention is characterized in that no distinction is made between measured values, diagnostic values or ICD codes.
  • the method according to the invention can process the values independently of the content of the values with regard to a disease of a part of the body.
  • the solution outlined here is characterized by the fact that these values are sent to the medical specialist or physician without carrying out an analysis of the values in such a way that the physician can quickly make the necessary decisions.
  • the user can have at least two values.
  • the large number of values can be due, for example, to the fact that the person suffers from several illnesses over the years and/or the person is examined several times over the years.
  • a large number of values can be present in a large number of medical findings.
  • the method according to the invention can be used to order the values. It is irrelevant where and in what form one value and the other value are stored. A value can be stored in a finding, for example.
  • the method according to the invention can also be used to organize the findings containing the values.
  • Values or findings can also be ordered in such a way that irrelevant values or irrelevant findings are not transmitted to the user without, however, analyzing clinical pictures and/or possible diseases.
  • the solution according to the invention provides that at least one priority factor is assigned to each value from the group of measured values, diagnostic values, ICD codes and the at least two values are ranked according to this priority factor in a list to be created.
  • the list can be displayed on a monitor.
  • Creating the list can mean that the values in the created sequence are saved on a data medium.
  • the list can be created in such a way that the values are saved in order in a file.
  • the file has a file structure that corresponds to the order determined. Creating the list may involve creating links or paths to the values in the list.
  • the method according to the invention can thus be suitable for controlling a computer to create the list.
  • Measured values determined by means of measuring methods can be subject to a measuring error. Diagnostic values can be based on an incorrect diagnosis. An ICD code may also have been incorrectly defined. The values can therefore be incorrect for the reasons mentioned.
  • By sorting the values the user can only output the values of one body part and possibly neighboring body parts. This is achievable by looking exclusively at a range of priority factors. The user can efficiently look through such a list with only the measured values of a body part for measurement errors and/or incorrect diagnoses. Such a review for measurement errors and/or incorrect diagnoses can easily be carried out via an additional chronological sequence of the values.
  • the method according to the invention can include that only the values provided with a priority factor are displayed, which priority values lie in a defined range.
  • the user can also define a threshold for selecting priority factors which priority factors are less than, equal to, equal to, greater than or greater than the threshold. In this way it can be achieved that only those values are displayed to the user which values have a relevance for the user determined by the determination of the priority factor described below.
  • the method according to the invention can include that only the values of those body parts defined via the respective body attribute are provided with a priority factor greater than zero and thus the list shows which body parts are functionally related and/or symptomatic related to each other .
  • a numerical value can be defined by the user or the person.
  • two body parts are functionally related when a body fluid such as blood or oxygen is conducted from one body part to another body part.
  • a body fluid such as blood or oxygen
  • two parts of the body are functionally related if energy that can be measured using physical methods is exchanged between the bodies.
  • the way nerves work, for example, is that electrical energy is conducted from one part of the body to another part of the body.
  • a symptomatic relationship between two parts of the body is defined in such a way that a specific disease in one part of the body, following current medical teaching, causes a disease in another part of the body.
  • a diabetic disease which enters into the method according to the invention as measured values due to increased sugar values, can, according to the current teaching, involve a disease of the eyes and/or the extremities.
  • the body part described by the measured value or diagnostic value or ICD code or the diseased body part is defined via the body attribute.
  • the functional and/or symptomatic relationship between two body parts can be specified as a binary value.
  • the numerical value as a binary value has the number one if such a connection can be established.
  • the numerical value as a binary value has the number zero if such a connection cannot be established.
  • a user may be a medical specialist for a specific body area including specific body parts.
  • the distance between the additional body part, which additional body part includes the user's discipline, and the body part defined by the body attribute can be indicated by a numerical value.
  • the numerical value can be increased, for example, if the medical specialist specification of the medical specialist includes the body part that is diseased or described by the value. Conversely, the numerical value can be defined as low if the medical specialist specification of the medical specialist does not include the diseased part of the body.
  • the lower numerical value with a high distance value and the higher numerical value with a lower distance value between the body part defined by the body attribute and the additional body part specified by the user's discipline is taken into account in the method according to the invention by the inverted first distance value between the mentioned body parts.
  • the numerical value can also be determined by a simple query or a comparison of definitions, so that the inverted distance value as a Binary value zero or one can be specified. For example, it can be queried whether the body part corresponds to the other body part or whether the body part is included in the user's specialist discipline. If the body part is included in the subject discipline of the user and thus there is no first distance, the inverted first distance value can be set equal to one. This can be viewed as equivalent to the determination of a first distance value and an inverted first distance value described above.
  • the distance between two body parts may be determined in a reference body; it is not absolutely necessary to determine the distance between the body parts on the person.
  • the distance can be specified by a numerical value.
  • a score is created by a doctor, which doctor has specific specialty training for specific body parts.
  • the distance can be determined as a numerical value, which numerical value represents the distance between the body part, which body part is covered by the specialist training of the doctor creating the value, and the further body part, which body part is covered by the specialist training of the doctor as the user.
  • an inverted second distance value is determined, which inverted second distance value is almost one given a small distance between the body part and the further body part.
  • the inverted second distance value is almost zero when there is a large distance between the body part and the further body part.
  • the inverted second distance value can be specified by a binary value (zero or one), which can be considered equivalent to determining the second distance value or the inverted second distance value.
  • An exceptional measurement describes an exceptional function of a body part, resulting in a body attribute defined by the exceptional measurement.
  • a measurement includes a body attribute.
  • the distance between the additional body part, which additional body part is described by the unusual measured value, and the body part defined by the body attribute can be indicated by a numerical value.
  • a low numerical value with a high distance value and a high numerical value with a lower distance value between the body part defined by the body attribute and the body part indicated by the unusual measured value is generated in the method according to the invention by the inverted third distance value between the mentioned body parts.
  • the inverted third distance value can be specified by a binary value (zero or one), which can be considered equivalent to determining the third distance value or the inverted third distance value.
  • Those skilled in the art obtain the inverted distance values defined above by dividing 1 by the detectable distance.
  • the inverted distance values are less than or equal to one, like the binary values.
  • the inverted distance values are close to one when the body part and the further body part are close to each other.
  • the inverted distance values are nearly zero when the body part and the further body part are distant from each other.
  • the time value can be set lower with an increasing time span since the determination of the value and thus be included in the determination of the priority value as an inverted time value. According to this definition, an illness that happened a long time ago, in particular when an illness associated with the health data is cured, has little influence on a current finding and thus on the list of health data to be created.
  • a long-lasting illness is documented by an occurring frequency of health values defining this illness, provided that the person is examined regularly with regard to this illness.
  • the frequency can be defined as a number of events in a finite period of time or for an indefinite period of time.
  • the frequency of an unusual measured value can be included as a numerical value in the calculation of the priority factor.
  • Addition, multiplication, subtraction or division can also be combined in any way.
  • the mathematical calculation rules mentioned can also be replaced or supplemented by other mathematical calculation rules such as integral formation, calculation of an average value, etc., so that the effect explained here of generating a list containing the health data in an ordered form can be created.
  • the method according to the invention can be based on the values being ordered from the above priority values with regard to a priority value.
  • the method according to the invention can be based on the values being ordered with regard to a plurality of priority values.
  • the method according to the invention can be characterized in that the determination of diagnostic values and/or the determination of an ICD code includes the determination of a word or words or a pattern of words in a text.
  • a medical certificate or a medical diagnosis usually includes a large number of words and/or numbers, which words and/or numbers enter the method according to the invention as health data.
  • Methods based on current teaching can be used to extract selected words and/or numbers from a text, which words and/or numbers describe a part of the body. the For example, words and/or numbers can describe a disease of a part of the body. These words and/or numbers can enter the method according to the invention as health data.
  • a pattern of words and/or numbers can be searched for, which pattern is similar to a reference pattern stored in a database. Such patterns can be used as health data in the method according to the invention.
  • the method according to the invention can be characterized in that the health data includes at least three values, the group of numerical values also including:
  • the further values describing a further part of the body can be sorted in a list depending on the inverted distance to a part of the body from the value describing the part of the body. The further away the additional body part is, the less prioritized the additional value can be displayed in the list.
  • the method according to the invention can be characterized in that the priority factor is changed by an input value from the user and/or by a further input value from a further user.
  • the user can change a priority value, which priority value has been determined according to the description above. For example, the user can increase the priority value with an input value or decrease so that this changes the order of the values in the list.
  • a decrease or an increase in the priority factor, which increase or decrease is made by another user, can also be used for the list created for the user.
  • the additional input value entered by the additional user can thus have an influence on the list of values.
  • the method according to the invention can include a query that the user and the other user have a similar professional training.
  • Fig. 1 shows an embodiment of the invention
  • Fig. 2 shows a further embodiment of the method according to the invention
  • FIG. 1 illustrates a possible application of the method according to the invention and the associated technical effect of the method according to the invention.
  • a doctor receives a large number of health data.
  • FIG. 1 illustrates an embodiment of the method according to the invention.
  • a data source 1 in which the findings are stored. Since the method according to the invention relates to a computer-implemented method, the data source 1 is preferably a digital data source, in which data source the findings are stored.
  • the findings can be in paper form, which findings can be recorded digitally for further processing as part of the method according to the invention and stored in this form in the data source 1 .
  • the data source 1 can be a data source used exclusively for this method.
  • the data source 1 can also be a data source, whatever data source for other methods of processing medical data, in particular for patient data.
  • Multiple data sources such as, but not limited to, multiple, multiple hospital-located data sources of findings or values may also be used.
  • the data can comprise a measured value , a diagnostic value and an ICD value, which values comprise a physical attribute in addition to an attribute describing the state of health of the person.
  • the body attribute describes the body part for which body part the measured value, the diagonal value and the ICD value are created.
  • the method according to the invention can include the method step that the person as a patient releases the findings stored in the database 1 as data (see FIG. 1: start release of findings 2). Such a release triggers a possible processing of the findings finding x, finding y and finding z listed as examples in FIG.
  • the release of the data by the user can be limited to individual findings and/or to findings from a specific period of time, or it can mean the release of the entirety of the findings.
  • the person skilled in the art can introduce other forms of restricting the release to certain groups of findings into the method according to the invention.
  • the method according to the invention includes the release of the findings release 2 in order to comply with data protection regulations.
  • the processing of the finding x can trigger the examination of the recipient specialist discipline 6 .
  • the above-mentioned release of the data by the patient gives the user the right to read this data from database 1 .
  • the method according to the invention can include querying the user's specialist discipline (FIG. 1: Check recipient specialist discipline 6). This method step is carried out in the embodiment of the method according to the invention shown in FIG. 1 and is included in the method according to the invention as value F1.
  • the processing of a finding entails at least one of the following processing steps 7, 8, 9, which are shown in FIG. 1 as an example using the finding x. These method steps 7 , 8 , 9 are part of the determination of the priority factor 3 , as will be discussed below. For reasons of clarity, the determination of priority factor 3 is only shown for finding x. The determination of the priority factor 3 is also applied to at least one of the findings y, z.
  • a method step at least one ICD code can be read from the finding. It corresponds to common practice that a finding, such as the finding x here, for example, comprises a number of ICD codes, which ICD codes can be read out. The ICD codes are presented as values comprising numbers and letters and can be read using methods. The body attribute of the finding x is defined by the ICD code.
  • the body attribute defined by the ICD code of the finding can be compared with the body attribute defined by the Fl value.
  • the result of this comparison can be be a binary value (zero or one).
  • the result of this comparison can be a distance value.
  • the binary value or the inverted distance value with the condition less than or equal to one can be included as a numerical value in the subsequent determination of the priority factor.
  • reference words can be stored in a reference database, the occurrence of which in the finding x is examined using current teaching.
  • the reference words can refer to body parts or specific diseases of body parts.
  • These reference words can also refer to a designation of a doctor or a specialist training of a doctor. Assuming that a doctor only examines the body parts according to his specialist training, the body attribute can also be read out from the finding x.
  • the comparison of the reference words stored in the reference database with the finding x provides body attributes defined by the finding x, which body attributes enter the method as an F2 value.
  • the F2 value is compared with the Fl value, with a binary value or a distance value being determined as the result of this comparison analogously to method step 7, which result is included in the form of a numerical value as a binary numerical value or as an inverted distance value in the subsequent calculation of the priority value .
  • the person or a user can assign a body segment to a finding. This assignment can be stored as a body attribute with or linked to the finding in the database. This assigned body attribute is included in the method according to the invention as an F3 value, which F3 value can be compared with the F1 value. In analogy to method steps 7, 8 described above, such a comparison of F3 and Fl can deliver a binary numerical value or a distance value as a result in the form of a numerical value, with the binary numerical value or the inverted distance value being included in the determination of the priority factor.
  • method steps 7, 8, 9 end with the determination of a numerical value.
  • the respective numerical value is always less than or equal to one. Only one method step from the group of method steps 7 , 8 , 9 has to be carried out .
  • the person skilled in the art can supplement the method steps 7, 8, 9 shown by way of example in FIG. 1 with further method steps or introduce alternative method steps which further or alternative method steps are described above.
  • the implementation of at least one method step 7, 8, 9 and/or a further method step leads to a numerical value less than or equal to one, which numerical value describes the distance between the body attribute from the finding and the Fl value describing the specialist training of the doctor.
  • the method according to the invention can provide that all method steps 7, 8, 9 are carried out. If the finding does not include a value from the values ICD code, F2 value and F3 value, the respective method step does not deliver a result since the input data is missing. Such a procedural step is ignored in the subsequent determination of the priority factor.
  • the priority factor is determined by adding the numerical values.
  • Other mathematical methods can also be performed.
  • method steps 7, 8, 9 can each supply the binary number one or zero as the result.
  • a finding usually includes a date specification, at which point in time or in which period of time the values of the finding were determined and/or the finding is created.
  • the ICD code may include such a date.
  • Such a date can be read from the finding x using methods according to the prior art.
  • the person or user can also assign a date to the value or finding. In any case, a period of time can be determined between the date specified and the point in time when the method according to the invention is carried out or when the values are displayed.
  • the added numerical values 10 can be reduced with regard to the time period.
  • an inverted time value can be calculated from the period of time, which inverted time value is less than or equal to 1 and linearly reduces this priority value when multiplied by the previously determined priority value. It it is also conceivable that a logarithmic or other reduction of the priority factor is taken into account.
  • the priority value 11 for the finding x is determined in this way.
  • a priority factor 12 can be determined for the finding y and a priority factor 13 for the finding y.
  • the object of the invention is the ordering system for ordering the findings x, y, z and not the type of presentation of the order found.
  • the solution presented below is based on the assumption that a doctor, as the user mentioned by way of example and thus not as a limitation, has specialist training in certain body parts and for this reason would like to view the body parts according to his specialist discipline as a priority.
  • the method according to the invention implements this basic approach in determining priority factors as a function of the body attributes defined by the finding and the body attributes defined by the training of the user—here Fl value.
  • the findings are presented, for example, in the form of a list.
  • a representation in the form of a list is a possible representation of a number of data - here findings - with a prioritization of individual data.
  • the findings with the highest priority factor are displayed here at the top.
  • the method according to the invention does not have to be limited to a list form.
  • the list form is only one form of representation taking into account the prioritization. Those skilled in the art can also select other forms of representation.
  • FIG. 2 shows a further embodiment of the method according to the invention.
  • the priority factor 11 of the finding x and/or the priority factor 12 of the finding y and/or the priority factor of the finding z can be increased or decreased by an input value.
  • the user can enter the input value so that the order in the list is changed.
  • the input value can also be a further input value entered by a further user, which user preferably and thus not restrictively has the same or similar specialist training as the user.

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Abstract

L'invention concerne un procédé mis en œuvre par ordinateur destiné à ordonner des données concernant la santé d'une personne à des fins d'observation par un utilisateur, lesdites données concernant la santé contenant au moins deux valeurs issues d'une valeur de mesure de la personne, la valeur de mesure comprenant un attribut corporel et une valeur de mesure, et/ou une valeur de diagnostic, la valeur de diagnostic comprenant un attribut corporel et un mot déterminé de manière subjective ou une valeur déterminée subjectivement concernant une pathologie de la première partie corporelle de la première personne, et/ou un premier code CIM ayant un attribut corporel, un facteur de priorité étant affecté dans chaque cas à une valeur, le facteur de priorité étant déterminé par une sélection d'une valeur numérique ou par addition ou multiplication ou soustraction ou division d'au moins deux valeurs numériques parmi un groupe de valeurs numériques, de sorte qu'un système d'ordonnancement de valeurs ordonnées selon le facteur de priorité est établi.
PCT/AT2021/060459 2021-01-28 2021-12-01 Procédé d'ordonnancement de données concernant la santé WO2022159993A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ATA50048/2021A AT524707A1 (de) 2021-01-28 2021-01-28 Verfahren zum Ordnen von Gesundheitsdaten
ATA50048/2021 2021-01-28

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