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Common Data Elements and Terminologies in Demo Ontology

SHRINE makes common elements of patient data available to be searched. Descriptions for the most common data elements, . demographics, diagnoses, medications and a sample of laboratory results, are listed below.

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The Core ontology is a static snapshot of underlying standards. As they change (for example, regular updates of ICD-9-CM and RxNorm), we expect that the Core ontology will follow after a reasonable delay to accommodate the effort of introducing the changes, resolving issues and quality assurance processes.Each participating institution's data is loaded with native coding schemes used by local information technology solutions. In order to understand SHRINE queries issued using terms from the Core ontology, a mapping is created and maintained for each institution which allows a translation from SHRINE Core ontology term to a corresponding local one in order to perform a query at the institution. While every effort was made during creation of mapping files and their testing to faithfully preserve the meaning of data, as with any mapping exercise, there may be instances where the translation between SHRINE Core ontology and local hospital's data is not perfect.

Demographics

• Age
• Gender - HL7 Administrative Gender
• Language - ISO 639-1
• Marital Status - HL7 Marital Status
• Race and Ethnicity -CDC Race & Ethnicity Code Sets

Diagnoses

•  ICD ICD-9-CM terms and hierarchy

Medications

• RxNorm Ingredient terms and NDF-RT hierarchy

Lab Tests

• LOINC common top 300 ranked common labs with LOINC hierarchy

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