Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials.
Journal:
Research synthesis methods
Published Date:
May 1, 2020
Abstract
BACKGROUND: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can decrease the time and burden by automating the process, but evidence validating such software is limited. We tested the accuracy of RobotReviewer, a semi-autonomous risk of bias (RoB) assessment tool, and its agreement with human reviewers.