Lessons Learned for Identifying and Annotating Permissions in Clinical Consent Forms.
The lack of machine-interpretable representations of consent permissions precludes development of tools that act upon permissions across information ecosystems, at scale.
Author(s): Umberfield, Elizabeth E, Jiang, Yun, Fenton, Susan H, Stansbury, Cooper, Ford, Kathleen, Crist, Kaycee, Kardia, Sharon L R, Thomer, Andrea K, Harris, Marcelline R
DOI: 10.1055/s-0041-1730032