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1. WO2017000019 - FRAMEWORKS AND METHODOLOGIES FOR ENABLING SEARCHING AND/OR CATEGORISATION OF DIGITISED INFORMATION, INCLUDING CLINICAL REPORT DATA

Nota: Texto obtenido mediante procedimiento automático de reconocimiento óptico de caracteres.
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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.

1 1 . 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 1 1 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 1 1 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.