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Collaborative Program to Evaluate Real World Data for Use in Clinical Studies and Regulatory Decision Making.
Zozus, Meredith N; Choi, Byeong Yeob; Garza, Maryam Y; Facile, Rhonda; Lanham, Holly J; Wang, Zhan; Sanns, Bill; Maallah, Muayad; Wei, Henry G; Cramer, Amy N; Eisenstein, Eric L.
Afiliación
  • Zozus MN; University of Texas Health Science Center San Antonio, San Antonio, TX.
  • Choi BY; University of Texas Health Science Center San Antonio, San Antonio, TX.
  • Garza MY; University of Arkansas for Medical Sciences, Little Rock, AR.
  • Facile R; Clinical Data Interchange Standards Consortium, Austin, TX.
  • Lanham HJ; University of Texas Health Science Center San Antonio, San Antonio, TX.
  • Wang Z; University of Texas Health Science Center San Antonio, San Antonio, TX.
  • Sanns B; University of Texas Health Science Center San Antonio, San Antonio, TX.
  • Maallah M; University of Texas Health Science Center San Antonio, San Antonio, TX.
  • Wei HG; Regeneron Pharmaceuticals, Tarrytown, NY.
  • Cramer AN; Johnson and Johnson, Titusville, NJ.
  • Eisenstein EL; Duke University, Durham, NC.
AMIA Jt Summits Transl Sci Proc ; 2023: 632-641, 2023.
Article en En | MEDLINE | ID: mdl-37350921
ABSTRACT
The 21st Century Cures Act allows the US Food and Drug Administration to consider real world data (RWD) for new indications or post approval study requirements. However, there is limited guidance as to the relative quality of different RWD types. The ACE-RWD program will compare the quality of EHR clinical data, EHR billing data, and linked healthcare claims data to traditional clinical trial data collection methods. ACE-RWD is being conducted alongside 5-10 ancillary studies, with five sponsors, across multiple therapeutic areas. Each ancillary study will be conducted after or in parallel with its parent clinical study at a minimum of two clinical sites. Although not required, it is anticipated that EHR clinical and EHR billing data will be obtained via EHR-to-eCRF mechanisms that are based on the Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR®) standard.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: AMIA Jt Summits Transl Sci Proc Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: AMIA Jt Summits Transl Sci Proc Año: 2023 Tipo del documento: Article