Semi-Automated Checking of Research Outputs

可信研究环境（TREs）在使研究人员能够分析诸如健康记录之类的机密数据然后报告研究结果方面发挥着至关重要的作用。五保险箱框架用于确保数据保密性，并包括安全输出。输出结果通常在释放前由两名专家人员检查，这对treoperator来说是一笔巨大的开支，并可能给研究人员造成瓶颈。同时，TREs的平行发展和对披露风险的理解产生了巩固理论和实践的需要，以尽量减少TREs之间不一致的行为。为了解决这两个问题，该项目寻求降低TREs的运营成本，以及发布研究成果所需的时间。它将：•产生一个具有严格统计基础的统一框架，为TREs提供指导，以商定一致的标准流程，以协助质量保证。•设计和实施一个半自动系统，用于检查常见的研究成果，并增加对其他类型（如人工智能）的支持水平。•与不同部门（卫生、社会数据）和组织（学术界、政府、私营部门）的一系列不同类型的信息交换合作，以确保广泛适用。•与公众和患者合作，探索需要什么才能让公众相信，任何自动化都是“额外的一双眼睛”：支持不取代TRE员工，帮助他们更快地做出简单的决定，从而专注于更复杂或更细微的病例。

Trusted Research Environments (TREs) play a vital role in enabling researchers to analyse confidential data such as health records then report findings. The Five-SafesFramework is used to ensure data confidentiality and includes Safe Outputs. Outputs are typically checked by two expert staff before release, which is a significant expense for TREoperators, and can cause a bottleneck for researchers.Meanwhile, the parallel development of TREs and understanding of disclosure-risk, hascreated a need to consolidate theory and practice to minimise inconsistent behaviourbetween TREs. Addressing both these issues, this project seeks to reduce the operating costs of TREs, and the time taken to release research results. It will:•Produce a consolidated framework with a rigorous statistical basis that providesguidance for TREs to agree consistent, standard processes to assist in QualityAssurance.•Design and implement a semi-automated system for checks on common research outputs, with increasing levels of support for other types such as AI.•Work with a range of different types of TRE in different sectors (health, social data)and organisations (academia, government, private sector) to ensure wide applicability.•Work with public and patients to explore what is needed for public trust that anyautomation is acting as “an extra pair of eyes”: supporting not supplanting TRE staff,helping them to make easy decisions more rapidly and therefore focus on more complex or nuanced cases.