Difference between revisions of "Archetype Query Language"

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{{abbrev|AQL}}
 
{{abbrev|AQL}}
{{definition|Archetype Query Language (AQL) is a declarative query language developed specifically for expressing queries used for searching and retrieving the clinical data found in archetype-based EHRs. AQL expresses the queries at the archetype level, i.e. semantic level, other than at the data instance level. This is the key in achieving sharing queries across system boundaries or enterprise boundaries.
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{{definition| A declarative query language developed specifically for expressing queries used for searching and retrieving the clinical data found in archetype-based EHRs
 
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{{Reference_Definition| Archetype Query Language (AQL) is a declarative query language developed specifically for expressing queries used for searching and retrieving the clinical data found in archetype-based EHRs. AQL expresses the queries at the archetype level, i.e. semantic level, other than at the data instance level. This is the key in achieving sharing queries across system boundaries or enterprise boundaries. | openEHR Foundation website }}
 
{{Reference_Definition| Archetype Query Language (AQL) is a declarative query language developed specifically for expressing queries used for searching and retrieving the clinical data found in archetype-based EHRs. AQL expresses the queries at the archetype level, i.e. semantic level, other than at the data instance level. This is the key in achieving sharing queries across system boundaries or enterprise boundaries. | openEHR Foundation website }}

Latest revision as of 14:11, 26 February 2013


Abbreviation: AQL
Definition: A declarative query language developed specifically for expressing queries used for searching and retrieving the clinical data found in archetype-based EHRs


Reference Definition: Archetype Query Language (AQL) is a declarative query language developed specifically for expressing queries used for searching and retrieving the clinical data found in archetype-based EHRs. AQL expresses the queries at the archetype level, i.e. semantic level, other than at the data instance level. This is the key in achieving sharing queries across system boundaries or enterprise boundaries. (openEHR Foundation website)
Instance of: Formal Language
Instance of: Standard or Specification