Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment

Idnay, B., Fang, Y., Dreisbach, C., Marder, K., Weng, C., & Schnall, R. (2023). Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. International Journal of Medical Informatics, 171, 104985. https://doi.org/10.1016/j.ijmedinf.2023.104985
Authors:
Betina Idnay
Yilu Fang
Caitlin Dreisbach
Karen Marder
Chunhua Weng
Rebecca Schnall
Affiliated Authors:
Betina Idnay
Yilu Fang
Caitlin Dreisbach
Karen Marder
Chunhua Weng
Rebecca Schnall
Author Keywords:
eligibility prescreening
cohort identification
clinical research
natural language processing
usability
cognitive walkthrough
Publication Type:
Article
Unique ID:
10.1016/j.ijmedinf.2023.104985
PMID:
Publication Date:
Data Source:
PubMed

Record Created: