Zhan Wang, Kayla Torres, Helen Foster, Gary Walker, Maryam Y. Garza, Amy Palmer, Elizabeth C. LeRoy, Rhonda Facile, Melissa Kirwin, Meredith N. Zozus
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Zozus","doi":"10.1002/alz.70628","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> INTRODUCTION</h3>\n \n <p>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).</p>\n </section>\n \n <section>\n \n <h3> METHODS</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> RESULTS</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> DISCUSSION</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Highlights</h3>\n \n <div>\n <ul>\n \n <li>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.</li>\n \n <li>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.</li>\n \n <li>Identified areas for improving data standards harmonization in Alzheimer's disease and related dementias (ADRD) research.</li>\n \n <li>Systematic mapping method aligns ADRC UDS with Health Level Seven (HL7) FHIR and CDISC SDTM standards.</li>\n \n <li>Results support feasibility of data sharing across ADRC research, EHRs, and industry.</li>\n </ul>\n </div>\n </section>\n </div>","PeriodicalId":7471,"journal":{"name":"Alzheimer's & Dementia","volume":"21 9","pages":""},"PeriodicalIF":11.1000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/alz.70628","citationCount":"0","resultStr":"{\"title\":\"Measuring alignment between the ADRC UDS data elements, FDA, and EHR data standards\",\"authors\":\"Zhan Wang, Kayla Torres, Helen Foster, Gary Walker, Maryam Y. 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Measuring alignment between the ADRC UDS data elements, FDA, and EHR data standards
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.
期刊介绍：
Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
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