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1. (AU2016287770) Frameworks and methodologies for enabling searching and/or categorisation of digitised information, including clinical report data
Note: Texte fondé sur des processus automatiques de reconnaissance optique de caractères. Seule la version PDF a une valeur juridique
CLAIMS:
1.            A computer implemented method for enabling categorisation of clinical records, the method including:
identifying a set of user-generated text contained a user interface object in a user interface environment;
processing the set of user-generated text based on a natural language processing engine, wherein the natural language processing engine leverages a clinical terminology knowledge base;
based on the processing, identifying a set of one or more suggested classification codes, wherein the classification codes are defined by a pre-existing clinical code structure; causing display of a user interface component in the user interface environment, wherein the user interface component: (i) displays the identified set of one or more suggested classification codes; and (ii) enables a user to selectively confirm/reject one or more of the set of identified codes;
receiving input representative of the one or more of the set of identified codes selectively confirmed by the user; and
providing a signal thereby to cause association of a clinical record including the set of user-generated text with the set of identified codes selectively confirmed by the user. 2. A method according to claim 1 wherein the user interface component is additionally configured to provide a search interface that enables a user to identify and selectively confirm one or more further codes, wherein the a signal causes association of a clinical record including the set of user-generated text with the set of identified codes selectively confirmed by the user and the one or more further codes.
3.            A method according to claim 2 wherein, in response to an event whereby a user identifies and selectively confirms one or more further codes, a trigger is initiated thereby to cause updating of the natural language processing engine and/or clinical terminology knowledge base.
4.            A method according to any preceding claim including causing rendering of a graphical output that associates each identified suggested clinical classification code with a portion of the user-generated text.
5.            A method according to any preceding claim including causing rendering of a graphical output that associates each identified suggested clinical classification code with additional clinical code context.
6.            A method according to any preceding claim wherein the identification of suggested clinical classification codes is configured to identify a disease stage and any other features of the disease such as behaviour and extent.
7.            A method according to any preceding claim wherein the user interface component is provided by a software application separate to a further software application in which the set of user generated text is contained.
8.            A method according to any preceding claim wherein the textual language processing engine is configured to identify discrete portions of the text, and , identify a set of one or more suggested classification codes for each discrete portion.
9.            A method according to claim 8 wherein association of the clinical record with the set of identified codes includes defining data that enables association of each discrete portion with its respective classification codes.
10.          A computer implemented method for enabling searching of clinical records the method including:
maintaining access to a database that includes data representative of clinical records, wherein each clinical record is pre-processed based upon a natural language processing engine thereby to associate the record with one or more clinical codes, wherein the clinical codes are defined in a clinical code hierarchical structure;
receiving a query from an interface that is configured enable user input of query parameters, wherein the query parameters include text-based concept-defining data; processing the text-based concept-defining data based on a predefined protocol thereby to identify one or more clinical codes associated with the concept-defining data; and identifying one or more clinical records that are associated with the same clinical codes as the concept-defining data.
11.          A method according to claim 10 including additionally associating with the concept defining data one or more further clinical codes, wherein the one or more further clinical codes are sub-tree codes to the identified one or more clinical codes in the hierarchical structure.
12.          A method according to claim 11 wherein the interface is configured to enable the user to select whether or not to perform the process of additionally associating with the concept defining data one or more further clinical codes, wherein the one or more further clinical codes are sub-tree codes to the identified one or more clinical codes in the hierarchical structure.
13.          A method according to claim 10, claim 11 or claim 12 wherein there is a plurality of clinical code hierarchical structures.
14.          A method according to claim 13 wherein the interface is configured to enable the user to select one or more of the plurality of clinical code hierarchical structures for a given query.
15.          A method according to any one of claims 10 to 14 wherein the concept-defining data provides a single representation of a concept that has an non-enumerable set of representations.
16.          A computer implemented method for enabling categorisation and searching of clinical records, the method including:
identifying a set of user-generated text contained a user interface object in a user interface environment;
processing the set of user-generated text based on a natural language processing engine, wherein the natural language processing engine leverages a clinical terminology knowledge base;
based on the processing, identifying a set of one or more suggested classification codes, wherein the classification codes are defined by a pre-existing clinical code structure; causing display of a user interface component in the user interface environment, wherein the user interface component: (i) displays the identified set of one or more suggested classification codes; and (ii) enables a user to selectively confirm/reject one or more of the set of identified codes;
receiving input representative of the one or more of the set of identified codes selectively confirmed by the user;
providing a signal thereby to cause association of a clinical record including the set of user-generated text with the set of identified codes selectively confirmed by the user. maintaining access to a database that includes data representative of clinical records, wherein each clinical record is pre-processed based upon a natural language processing engine thereby to associate the record with one or more clinical codes, wherein the clinical codes are defined in a clinical code hierarchical structure;
receiving a query from an interface that is configured enable user input of query parameters, wherein the query parameters include text-based concept-defining data; processing the text-based concept-defining data based on a predefined protocol thereby to identify one or more clinical codes associated with the concept-defining data; and identifying one or more clinical records that are associated with the same clinical codes as the concept-defining data.
17.          A computer system configured to perform a method according to any one of claims 1 to
16.
18.          A computer program configured to perform a method according to any one of claims 1 to
16.
19.          A non-transitory carrier medium carrying computer executable code that, when executed on a processor, causes the processor to perform a method according to any one of claims 1 to 16.