ASTP Evaluation Details
Each submitted Data Element has been evaluated based on the following criteria. The overall Level classification is a composite of the maturity based on these individual criteria. This information can be used to identify areas that require additional work to raise the overall classification level and consideration for inclusion in future versions of USCDI
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Criterion #1 Maturity - Current Standards |
Level 2
- Data element is represented by a terminology standard or SDO-balloted technical specification or implementation guide.
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Criterion #2 Maturity - Current Use
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Level 2
- Data element is captured, stored, or accessed in multiple production EHRs or other HIT modules from more than one developer.
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Criterion #3 Maturity - Current Exchange |
Level 2
- Data element is electronically exchanged between more than two production EHRs or other HIT modules of different developers using available interoperability standards.
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Criterion #4 Use Case(s) - Breadth of Applicability |
Level 2
- Use cases apply to most care settings or specialties.
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Submitted by david_rocha on
NUVA
The ONC should consider NUVA for representation of immunization data.
https://www.syadem.com/en/solutions/nuva
The below text is from the attached PDF from NUVA:
CORE COMPONENTS OF NUVA CATALOGUE
Commercial and generic vaccine names
Multilingual entries covering active, inactive, country-specific or historical vaccines
STRUCTURING
Decomposition of vaccines into valences
Linkage to diseases,valences and international/national codifications
Extended NUVA according to AMM dates, commercialisations and laboratories
PIVOT TERMINOLOGY
Intermediary layer for mapping across national coding systems (CIS/CIP, CVX...) and international (ATC, SNOMED CT...)
Enables seamless integration into electronic health records (EHRs), digital vaccine records(DVRs), immunisation registries, and VADES engines
NUVAUSE CASES
Harmonisation of vaccination records across borders or systems
Interoperability with Immunisation Information Systems (IIS)
Automatic enrichment of Digital Vaccination Records (DVRs)
Valence-driven interpretation in Vaccine Decision Support Systems (VADES)
Dashboards, coverage calculations, and logistical auditing
Search of vaccines by valency or target disease