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Improving patient safety via automated laboratory-based adverse event grading

The identification and grading of adverse events (AEs) during the conduct of clinical trials is a labor-intensive and error-prone process. This paper describes and evaluates a software tool developed by City of Hope to automate complex algorithms to assess laboratory results and identify and grade A...

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Detalles Bibliográficos
Autores principales:	Niland, Joyce C, Stiller, Tracey, Neat, Jennifer, Londrc, Adina, Johnson, Dina, Pannoni, Susan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Group 2011
Materias:	Brief Communication
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3240768/ https://www.ncbi.nlm.nih.gov/pubmed/22084201 http://dx.doi.org/10.1136/amiajnl-2011-000513

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