A systematic review on natural language processing systems for eligibility prescreening in clinical research.

ABSTRACT:

Objective

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.

Materials and methods

Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards of quality for reporting systematic reviews, a protocol for study eligibility was developed a priori and registered in the PROSPERO database. Using predetermined inclusion criteria, studies published from database inception through February 2021 were identified from 5 databases. The Joanna Briggs Institute Critical Appraisal Checklist for Quasi-experimental Studies was adapted to determine the study quality and the risk of bias of

SUBMITTER: Idnay B 

PROVIDER: S-EPMC8714283 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature