Sethi Nayha, Laurie Graeme T
University of Edinburgh, UK.
Med Law Int. 2013 Jun;13(2-3):168-204. doi: 10.1177/0968533213508974.
This article advances a principled proportionate governance model (PPGM) that overcomes key impediments to using health records for research. Despite increasing initiatives for maximising benefits of data linkage, significant challenges remain, including a culture of caution around data sharing and linkage, failure to make use of flexibilities within the law and failure to incorporate intelligent iterative design. The article identifies key issues for consideration and posits a flexible and accessible governance model that provides a robust and efficient means of paying due regard to both privacy and the public interests in research. We argue that proportionate governance based on clear guiding principles accurately gauges risks associated with data uses and assigns safeguards accordingly. This requires a clear articulation of roles and responsibilities at all levels of decision-making and effective training for researchers and data custodians. Accordingly, the PPGM encourages and supports defensible judgements about data linkage in the public interest.
本文提出了一种有原则的适度治理模式(PPGM),该模式克服了利用健康记录进行研究的关键障碍。尽管为使数据链接的益处最大化而开展的举措不断增加,但仍存在重大挑战,包括围绕数据共享和链接的谨慎文化、未能利用法律赋予的灵活性以及未能纳入智能迭代设计。本文确定了需要考虑的关键问题,并提出了一种灵活且易于理解的治理模式,该模式提供了一种强有力且高效的方式,既能充分考虑隐私,又能兼顾研究中的公共利益。我们认为,基于明确指导原则的适度治理能够准确衡量与数据使用相关的风险,并据此设置保障措施。这需要在各级决策层面清晰阐明角色和职责,并对研究人员和数据保管人员进行有效培训。因此,有原则的适度治理模式鼓励并支持出于公共利益对数据链接做出合理判断。