Open AccessA systematic review on natural language processing systems for eligibility prescreening in clinical research
Author(s) -
Betina Idnay,
Caitlin Dreisbach,
Chunhua Weng,
Rebecca Schnall
Publication year - 2021
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocab228
Subject(s) - checklist , workload , systematic review , protocol (science) , critical appraisal , inclusion (mineral) , medicine , quality (philosophy) , computer science , medline , artificial intelligence , alternative medicine , psychology , pathology , social psychology , philosophy , epistemology , political science , law , cognitive psychology , operating system
We conducted a systematic review to assess the effect of natural language processing (NLP) systems in improving the accuracy and efficiency of eligibility prescreening during the clinical research recruitment process.