SNOMED Documentation Search


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This approach uses a SNOMED CT browser to allow individual SNOMED CT concepts to be searched, selected and added to a subset. For large subsets this can be quite time consuming, however it is quite suitable for smaller subsets. A number of commercial tools are available which help to perform this task, including Apelon's Distributed Terminology System and B2i's Snow Owl terminology server.

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 below illustrates Snow Owl's authoring interface for Simple reference sets.

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B2i's Snow Owl interface for authoring Simple Reference Sets

Authoring Queries Using a Query Language

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Two examples of this style of interface are illustrated in

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 and
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.
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 shows the NHS Data Migration Workbench query interface, while
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 shows B2i's Snow Owl query interface.

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NHS Data Migration Workbench interface for authoring queries

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B2i's Snow Owl interface for authoring text-based queries

Authoring Queries Using a Structured Form

A third style of user interfaces for authoring SNOMED CT subsets uses a structured form. A form-driven query tool may allow the user to select an operator (e.g. 'memberOf', 'descendantOf'), the concept or subset to which this operator is applied (e.g. 'Example problem list', 'Disorder'), and then one or more attribute values to limit the set of concepts returned. (Note: The attribute name may either be selected from a list, or hard coded on the form). Once the form is completed, a text-based query is automatically constructed from the selected values, and executed against SNOMED CT. This style of interface can be designed to allow users to exploit the rich semantics of SNOMED CT, while shielding them from the underlying technical details.

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 illustrates how a generic form-driven interface for authoring SNOMED CT queries works. Vendor products which implement form-driven interfaces for authoring SNOMED CT queries include B2i's Meaningful Query web interface (as shown in
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).

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A generic form-driven interface for authoring SNOMED CT queries

 

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B2i Snow Owl's Meaningful Query web interface

Patient Record Query Interfaces

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  1. Free text semantic search
  2. Queries using a predefined language (e.g. SQL, XQL, OQL or AQL)
  3. Queries using a structured form (including both SNOMED CT and concrete value criteria)

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 shows an example of a search for 'diabetes' using Cerner's Semantic Search tool. This tool enables clinicians at the point of care to search in real time through a patient's multiple charts, pathology reports and other documents for topics such as 'heart disease' and 'diabetes', using SNOMED CT's hierarchical and non-hierarchical relationships.

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User interface of Cerner's Chart Search/Semantic tool

 

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