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

Betina R IdnayJianfang LiuYilu FangAlex HernandezShivani KawAlicia EtwaruJaneth Juarez PadillaSergio Ozoria RamírezKaren MarderChunhua WengRebecca Schnall
Published in: Journal of the American Medical Informatics Association : JAMIA (2024)
User-modifiable NLP-driven prescreening tools were favorably received, with system type, evaluation sequence, and user's computer literacy influencing usability more than cognitive complexity. The study emphasizes NLP's potential in improving recruitment for clinical trials, endorsing a mixed-methods approach for future system evaluation and enhancements.
Keyphrases
  • clinical trial
  • study protocol
  • phase ii
  • health information
  • autism spectrum disorder
  • open label
  • phase iii
  • healthcare
  • risk assessment
  • current status
  • machine learning
  • human health
  • drug induced