Cargando…
IRB Process Improvements: A Machine Learning Analysis
OBJECTIVE: Clinical research involving humans is critically important, but it is a lengthy and expensive process. Most studies require institutional review board (IRB) approval. Our objective is to identify predictors of delays or accelerations in the IRB review process and apply this knowledge to i...
Autores principales: | Shoenbill, Kimberly, Song, Yiqiang, Cobb, Nichelle L., Drezner, Marc K., Mendonca, Eneida A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5647673/ https://www.ncbi.nlm.nih.gov/pubmed/29082031 http://dx.doi.org/10.1017/cts.2016.25 |
Ejemplares similares
-
The SMART IRB platform: A national resource for IRB review for multisite studies
por: Cobb, Nichelle, et al.
Publicado: (2019) -
The innovation scorecard for continuous improvement applied to translational science
por: Kotarba, Joseph A., et al.
Publicado: (2017) -
Patient-Centered Network of Learning Health Systems: Developing a resource for clinical translational research
por: Finney Rutten, L. J., et al.
Publicado: (2017) -
Systems approach to assessing and improving local human research Institutional Review Board performance
por: Fontanesi, John, et al.
Publicado: (2018) -
Implementation of single IRB review for multisite human subjects research: Persistent challenges and possible solutions
por: Green, Jonathan M., et al.
Publicado: (2023)