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.

Podrobná bibliografie

Hlavní autoři:	Vaibhavi Vichare, Gonench Kilich, Charlotte Cunningham-Rundles, Michelle Onyekaba, Roshini S. Abraham, Jennifer Puck, Ramsay Fuleihan, Rebecca A. Marsh, Kathleen E. Sullivan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Rockefeller University Press 2025-11-01
Edice:	Journal of Human Immunity
On-line přístup:	https://rupress.org/jhi/article-pdf/doi/10.70962/jhi.20250118/1953626/jhi_20250118.pdf
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!