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Automated data extraction model for the USIDNET registry: Bigger, faster, and better data collectionAutomated data extraction model for the USIDNET registry

USIDNET is a suite of resources for clinical immunologists. The registry of patient data utilizes data extraction from electronic health records to minimize burden on participating sites. This has been effective at improving enrollment.

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Bibliografiset tiedot
Päätekijät: Vaibhavi Vichare, Gonench Kilich, Charlotte Cunningham-Rundles, Michelle Onyekaba, Roshini S. Abraham, Jennifer Puck, Ramsay Fuleihan, Rebecca A. Marsh, Kathleen E. Sullivan
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Rockefeller University Press 2025-11-01
Sarja:Journal of Human Immunity
Linkit:https://rupress.org/jhi/article-pdf/doi/10.70962/jhi.20250118/1953626/jhi_20250118.pdf
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