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default cerner model experience  (Cerner Corporation)

 
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    Structured Review

    Cerner Corporation default cerner model experience
    A, Distribution of data elements classified into 8 subject categories for the <t>default</t> and local <t>Cerner</t> modules. B, Match type breakdown of data elements in each category.
    Default Cerner Model Experience, supplied by Cerner Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/default cerner model experience/product/Cerner Corporation
    Average 90 stars, based on 1 article reviews
    default cerner model experience - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies"

    Article Title: Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies

    Journal: Ophthalmology Science

    doi: 10.1016/j.xops.2024.100666

    A, Distribution of data elements classified into 8 subject categories for the default and local Cerner modules. B, Match type breakdown of data elements in each category.
    Figure Legend Snippet: A, Distribution of data elements classified into 8 subject categories for the default and local Cerner modules. B, Match type breakdown of data elements in each category.

    Techniques Used:

    Distribution of Mappings for the Default Cerner Millennium Eye Examination and a Localized Cerner Ophthalmology Module by Mapping Type and Vocabulary
    Figure Legend Snippet: Distribution of Mappings for the Default Cerner Millennium Eye Examination and a Localized Cerner Ophthalmology Module by Mapping Type and Vocabulary

    Techniques Used:

    A, Distribution of all default Cerner and local Cerner module mappings by vocabulary of the target standard concept. Match type distribution for mappings with target standard concepts in SNOMED ( B ) or LOINC ( C ) vocabularies. LOINC = Logical Observation Identifiers, Names, and Codes; SNOMED = Systematized Nomenclature of Medicine.
    Figure Legend Snippet: A, Distribution of all default Cerner and local Cerner module mappings by vocabulary of the target standard concept. Match type distribution for mappings with target standard concepts in SNOMED ( B ) or LOINC ( C ) vocabularies. LOINC = Logical Observation Identifiers, Names, and Codes; SNOMED = Systematized Nomenclature of Medicine.

    Techniques Used:



    Similar Products

    default cerner model experience  (Cerner Corporation)
    90
    Cerner Corporation default cerner model experience
    A, Distribution of data elements classified into 8 subject categories for the <t>default</t> and local <t>Cerner</t> modules. B, Match type breakdown of data elements in each category.
    Default Cerner Model Experience, supplied by Cerner Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/default cerner model experience/product/Cerner Corporation
    Average 90 stars, based on 1 article reviews
    default cerner model experience - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    A, Distribution of data elements classified into 8 subject categories for the default and local Cerner modules. B, Match type breakdown of data elements in each category.

    Journal: Ophthalmology Science

    Article Title: Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies

    doi: 10.1016/j.xops.2024.100666

    Figure Lengend Snippet: A, Distribution of data elements classified into 8 subject categories for the default and local Cerner modules. B, Match type breakdown of data elements in each category.

    Article Snippet: After the development and release of the default Cerner Model Experience in 2015, several institutions independently developed local models that expanded on the default model.

    Techniques:

    Distribution of Mappings for the Default Cerner Millennium Eye Examination and a Localized Cerner Ophthalmology Module by Mapping Type and Vocabulary

    Journal: Ophthalmology Science

    Article Title: Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies

    doi: 10.1016/j.xops.2024.100666

    Figure Lengend Snippet: Distribution of Mappings for the Default Cerner Millennium Eye Examination and a Localized Cerner Ophthalmology Module by Mapping Type and Vocabulary

    Article Snippet: After the development and release of the default Cerner Model Experience in 2015, several institutions independently developed local models that expanded on the default model.

    Techniques:

    A, Distribution of all default Cerner and local Cerner module mappings by vocabulary of the target standard concept. Match type distribution for mappings with target standard concepts in SNOMED ( B ) or LOINC ( C ) vocabularies. LOINC = Logical Observation Identifiers, Names, and Codes; SNOMED = Systematized Nomenclature of Medicine.

    Journal: Ophthalmology Science

    Article Title: Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies

    doi: 10.1016/j.xops.2024.100666

    Figure Lengend Snippet: A, Distribution of all default Cerner and local Cerner module mappings by vocabulary of the target standard concept. Match type distribution for mappings with target standard concepts in SNOMED ( B ) or LOINC ( C ) vocabularies. LOINC = Logical Observation Identifiers, Names, and Codes; SNOMED = Systematized Nomenclature of Medicine.

    Article Snippet: After the development and release of the default Cerner Model Experience in 2015, several institutions independently developed local models that expanded on the default model.

    Techniques: