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.

中文翻译：

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比较机器审查员和人工审查员，以评估随机对照试验中出现偏倚的风险。

新的卫生技术的证据越来越多，对为决策提供依据的证据的要求也在不断增加，这给及时完成卫生技术评估（HTA）/系统评价（SR）带来了挑战。软件可以通过使过程自动化来减少时间和负担，但是验证此类软件的证据有限。我们测试了RobotReviewer（一种半自治的偏倚风险（RoB）评估工具）的准确性，以及它与人工审核者的协议。