Background Tremendous opportunities for health research have been unlocked by the recent expansion of big data and artificial intelligence. However, this is an emergent area where recommendations for optimal use and implementation are needed. The objective of these European League Against Rheumatism (EULAR) points to consider is to guide the collection, analysis and use of big data in rheumatic and musculoskeletal disorders (RMDs). Methods A multidisciplinary task force of 14 international experts was assembled with expertise from a range of disciplines including computer science and artificial intelligence. Based on a literature review of the current status of big data in RMDs and in other fields of medicine, points to consider were formulated. Levels of evidence and strengths of recommendations were allocated and mean levels of agreement of the task force members were calculated. Results Three overarching principles and 10 points to consider were formulated. The overarching principles address ethical and general principles for dealing with big data in RMDs. The points to consider cover aspects of data sources and data collection, privacy by design, data platforms, data sharing and data analyses, in particular through artificial intelligence and machine learning. Furthermore, the points to consider state that big data is a moving field in need of adequate reporting of methods and benchmarking, careful data interpretation and implementation in clinical practice. Conclusion These EULAR points to consider discuss essential issues and provide a framework for the use of big data in RMDs.

中文翻译：

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EULAR 要点考虑在风湿病和肌肉骨骼疾病中使用大数据

背景 近期大数据和人工智能的发展为健康研究带来了巨大机遇。然而，这是一个需要优化使用和实施建议的新兴领域。这些欧洲抗风湿病联盟 (EULAR) 考虑的目标是指导风湿病和肌肉骨骼疾病 (RMD) 大数据的收集、分析和使用。方法 一个由 14 名国际专家组成的多学科工作组由来自包括计算机科学和人工智能在内的一系列学科的专业知识组成。基于对 RMD 和其他医学领域大数据现状的文献综述，提出了需要考虑的要点。分配了证据水平和推荐强度，并计算了工作组成员的平均同意水平。结果 制定了三个总体原则和 10 个要考虑的要点。总体原则涉及处理 RMD 中大数据的道德和一般原则。要考虑的要点涵盖数据源和数据收集、设计隐私、数据平台、数据共享和数据分析等方面，特别是通过人工智能和机器学习。此外，要考虑的要点表明，大数据是一个不断发展的领域，需要对方法和基准进行充分报告，仔细解释数据并在临床实践中实施。结论 这些 EULAR 要点考虑讨论基本问题，并为在 RMD 中使用大数据提供框架。