Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials.
- 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.
| Author: | Susan Armijo-OlivoORCiD, Rodger Craig, Sandy Campbell |
|---|---|
| Title (English): | Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials. |
| DOI: | https://doi.org/10.1002/jrsm.1398 |
| ISSN: | 1759-2879 |
| Parent Title (English): | Research Synthesis Methods |
| Document Type: | Article |
| Language: | English |
| Year of Completion: | 2020 |
| electronic ID: | Zur Anzeige in scinos |
| Release Date: | 2024/07/03 |
| Volume: | 11 |
| Issue: | 3 |
| First Page: | 484 |
| Last Page: | 493 |
| Note: | Zugriff im Hochschulnetz |
| Faculties: | Fakultät WiSo |
| DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften / 610 Medizin, Gesundheit |
| Review Status: | Peer Reviewed |