Value-of-information analysis (VOI) is a decision-theoretic approach that is used to inform reimbursement decisions, optimise trial design and set research priorities. The application of VOI analysis for informing policy decisions in practice has been limited due, in part, to the perceived complexity associated with the calculation of VOI measures. Recent efforts have resulted in the development of efficient methods to estimate VOI measures and the development of user-friendly web-based tools to facilitate VOI calculations. We review the existing web-based tools including Sheffield Accelerated Value of Information (SAVI), the web interface to the BCEA (Bayesian Cost-Effectiveness Analysis) R package (BCEAweb), Rapid Assessment of Need for Evidence (RANE), and Value of Information for Cardiovascular Trials and Other Comparative Research (VICTOR). We describe what each tool is designed to do, the inputs they require, and the outputs they produce. Finally, we discuss how tools for VOI calculations might be improved in the future to facilitate the use of VOI analysis in practice.

信息价值分析 (VOI) 是一种决策理论方法，用于为报销决策提供信息、优化试验设计和设定研究重点。VOI 分析在实践中用于通知政策决策的应用受到限制，部分原因是与 VOI 措施的计算相关的感知复杂性。最近的努力导致开发了估计 VOI 测量的有效方法，并开发了用户友好的基于 Web 的工具以促进 VOI 计算。我们回顾了现有的基于 Web 的工具，包括 Sheffield Accelerated Value of Information (SAVI)、BCEA（贝叶斯成本效益分析）R 包 (BCEAweb) 的 Web 界面、证据需求快速评估 (RANE) 和 Value of Information心血管试验和其他比较研究信息 (VICTOR)。我们描述了每个工具的设计目的、它们需要的输入以及它们产生的输出。最后，我们讨论了未来如何改进 VOI 计算工具，以促进 VOI 分析在实践中的使用。