Scottish Medical Imaging Service - Technical and Governance controls.

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES International Journal of Population Data Science Pub Date : 2022-08-25 DOI:10.23889/ijpds.v7i3.1869
Jacqueline Caldwell, Robert Wallace, Carole Morris, Simon Fleming, Rob Baxter, Ruairidh Macleod, W. Kerr, Donald Scobbie, Simon Rogers, F. Ritchie, Esma Mansouri-Benssassi, Susan Krueger, E. Jefferson
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Abstract

ObjectivesThe Scottish Medical Imaging (SMI) service provides linkable, population based, “research-ready” real-world medical images for researchers to develop or validate AI algorithms within the Scottish National Safe Haven. The PICTURES research programme is developing novel methods to enhance the SMI service offering through research in cybersecurity and software/data/infrastructure engineering. ApproachAdditional technical and governance controls were required to enable safe access to medical images. The researcher is isolated from the rest of the trusted research environment (TRE) using a Project Private Zone (PPZ). This enables researchers to build and install their own software stack, and protects the TRE from malicious code. Guidelines are under development for researchers on the safe development of algorithms and the expected relationship between the size of the model and the training dataset. There is associated work on the statistical disclosure control of models to enable safe release of trained models from the TRE. ResultsA policy enabling the use of “Non-standard software” based on prior research, domain knowledge and experience gained from two contrasting research studies was developed.  Additional clauses have been added to the legal control – the eDRIS User Agreement – signed by each researcher and their Head of Department.  Penalties for attempting to import or use malware, remove data within models or any attempt to deceive or circumvent such controls are severe, and apply to both the individual and their institution. The process of building and deploying a PPZ has been developed allowing researchers to install their own software. No attempt has yet been made to add additional ethical controls; however, a future service development could be validating the performance of researchers’ algorithms on our training dataset. ConclusionThe availability to conduct research using images poses new challenges and risks for those commissioning and operating TREs. The Private Project Zone and our associated governance controls are a huge step towards supporting the needs of researchers in the 21st century.
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苏格兰医学影像服务-技术和管理控制。
苏格兰医学成像(SMI)服务提供可链接的、基于人口的、“研究就绪”的真实医学图像,供研究人员在苏格兰国家安全港开发或验证人工智能算法。PICTURES研究项目正在开发新的方法,通过对网络安全和软件/数据/基础设施工程的研究来增强SMI服务。方法需要额外的技术和治理控制,以确保安全访问医学图像。使用项目私有区域(PPZ)将研究人员与可信研究环境(TRE)的其余部分隔离开来。这使研究人员能够构建和安装他们自己的软件堆栈,并保护TRE免受恶意代码的侵害。研究人员正在为算法的安全开发以及模型大小与训练数据集之间的预期关系制定指导方针。有关于模型的统计披露控制的相关工作,以确保从TRE安全发布训练过的模型。结果基于先前的研究、领域知识和从两个对比研究中获得的经验,制定了一项允许使用“非标准软件”的政策。法律控制的附加条款- eDRIS用户协议-由每位研究人员及其部门负责人签署。对于试图导入或使用恶意软件、删除模型中的数据或任何欺骗或规避此类控制的企图的处罚都是严厉的,并且适用于个人及其机构。构建和部署PPZ的过程已经开发出来,允许研究人员安装他们自己的软件。目前还没有尝试增加额外的道德控制;然而,未来的服务开发可能会验证研究人员的算法在我们的训练数据集上的性能。结论影像研究的可获得性对TREs的调试和运行提出了新的挑战和风险。私人项目区和我们相关的治理控制是朝着支持21世纪研究人员需求迈出的一大步。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
386
审稿时长
20 weeks
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