Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias

Idnay, B., Liu, J., Fang, Y., Hernandez, A., Kaw, S., Etwaru, A., Juarez Padilla, J., Ramírez, S. O., Marder, K., Weng, C., & Schnall, R. (2024). Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias. Journal of the American Medical Informatics Association, 31(5), 1062–1073. https://doi.org/10.1093/jamia/ocae032
Authors:
Betina Idnay
Jianfang Liu
Yilu Fang
Alex Hernandez
Shivani Kaw
Alicia Etwaru
Janeth Juarez Padilla
Sergio Ozoria Ramírez
Karen Marder
Chunhua Weng
Rebecca Schnall
Affiliated Authors:
Betina Idnay
Jianfang Liu
Yilu Fang
Alex Hernandez
Shivani Kaw
Alicia Etwaru
Janeth Juarez Padilla
Sergio Ozoria Ramírez
Karen Marder
Chunhua Weng
Rebecca Schnall
Columbia Affiliation:
Subjects:
Alzheimer Disease (MeSH)
Medical Informatics (MeSH)
Author Keywords:
informatics
research recruitment
clinical trial
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Publication Type:
Article
Unique ID:
10.1093/jamia/ocae032
PMID:
38447587
DOI:
10.1093/jamia/ocae032
Journal:
Journal of the American Medical Informatics Association
Publication Date:
Data Source:
PubMed
Source Link:
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