Measuring alignment between the ADRC UDS data elements, FDA, and EHR data standards Article Swipe
Z. Wang
,
Kayla Torres
,
Helen Foster
,
Gary Walker
,
Maryam Y. Garza
,
Amy E. Palmer
,
Elizabeth C. LeRoy
,
Rhonda Facile
,
Melissa A. Kirwin
,
Meredith Zozus
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/alz.70628
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/alz.70628
INTRODUCTION We compared and measured alignment between the Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard used by electronic health records (EHRs), the Clinical Data Interchange Standards Consortium (CDISC) standards used by industry, and the Uniform Data Set (UDS) used by the Alzheimer's Disease Research Centers (ADRCs). METHODS The ADRC UDS, consisting of 5959 data elements across eleven packets, was mapped to FHIR and CDISC standards by two independent mappers, with discrepancies adjudicated by experts. RESULTS Forty‐five percent of the 5959 UDS data elements mapped to the FHIR standard, indicating possible electronic obtainment from EHRs. Ninety‐four percent mapped to the CDISC standards, demonstrating high compatibility with industry standards. DISCUSSION The study highlights the feasibility of harmonizing ADRC data with industry and clinical standards. CDISC demonstrated superior alignment with ADRC UDS data, whereas FHIR showed potential for improvement through resource maturation and enhanced standardization. Highlights Forty‐five percent of Alzheimer's Disease Research Center Uniform Data Set (ADRC UDS) data elements could be mapped to Fast Healthcare Interoperability Resources (FHIR), indicating potential electronic health records (EHRs) extraction. Ninety‐four percent of ADRC UDS data elements could be mapped to Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM), showing high industry compatibility. Identified areas for improving data standards harmonization in Alzheimer's disease and related dementias (ADRD) research. Systematic mapping method aligns ADRC UDS with Health Level Seven (HL7) FHIR and CDISC SDTM standards. Results support feasibility of data sharing across ADRC research, EHRs, and industry.
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- Landing Page
- https://doi.org/10.1002/alz.70628
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/alz.70628
- OA Status
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- References
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4414098820Canonical identifier for this work in OpenAlex
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https://doi.org/10.1002/alz.70628Digital Object Identifier
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Measuring alignment between the ADRC UDS data elements, FDA, and EHR data standardsWork title
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2025Year of publication
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2025-09-01Full publication date if available
- Authors
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Z. Wang, Kayla Torres, Helen Foster, Gary Walker, Maryam Y. Garza, Amy E. Palmer, Elizabeth C. LeRoy, Rhonda Facile, Melissa A. Kirwin, Meredith ZozusList of authors in order
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https://doi.org/10.1002/alz.70628Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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