同意管理2.0:在医学研究和护理中增强患者意愿。

Sebastian Stäubert, Angela Merzweiler, Jörg Römhild, Stefan Lang, Martin Bialke
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引用次数: 0

摘要

导言:医学研究中健康数据的合法处理需要强有力的机制来管理患者的同意和反对,并与国家和欧洲法规保持一致。虽然HL7标准“同意管理”的初始版本主要侧重于选择加入的场景,但不断变化的法律环境和实际实施中的挑战凸显了对选择加入和选择退出方法(包括撤回和反对)的综合解决方案的需求。本文详细介绍了最新HL7基于fhr的“同意管理2.0”标准的系统修订,以解决这些限制。方法:我们的方法包括根据三年的实践经验和新兴的监管要求对2021年标准进行关键评估。结果:主要改进包括增强了对不同文档类型(同意、撤回、拒绝、反对)的支持,改进了将问卷回答自动转换为机器可读的同意资源的技术规范,并引入了新的“ResultType”类别。这一新类别允许特定用例的同意信息聚合,简化下游处理并减少解释歧义。此外,定义了统一的FHIR搜索参数,并将综合示例集成到实现指南中。修订后的标准在2025年4月成功地通过了HL7投票过程,早期的实际实现已经证明了它的实用性。结论:该扩展标准显著增强了复杂研究基础设施中同意管理的互操作性和法律稳健性,促进了患者在数字健康数据重用方面的自主权和信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consent Management 2.0: Empowering Patient Will in Medical Research and Care.

Introduction: The lawful processing of health data in medical research necessitates robust mechanisms for managing patient consent and objections, aligning with national and european regulations. While the initial version of the HL7 standard Consent Management" primarily focused on opt-in scenarios, evolving legal landscapes and practical implementation challenges highlight the need for comprehensive solutions encompassing both opt-in and opt-out approaches, including withdrawals and objections. This paper details the systematic revision of the latest HL7 FHIR-based "Consent Management 2.0" standard to address these limitations.

Methods: Our methodology involved a critical assessment of the 2021 standard against three years of practical experience and emerging regulatory requirements.

Results: Key improvements include enhanced support for diverse document types (consent, withdrawal, refusal, objection), refined technical specifications for automated conversion of questionnaire responses into machine-readable Consent Resources, and the introduction of a novel "ResultType" category. This new category enables use-case-specific aggregation of consent information, simplifying downstream processing and reducing interpretation ambiguities. Additionally, uniform FHIR search parameters were defined, and comprehensive examples were integrated into the implementation guide. The revised standard successfully underwent the HL7 ballot process in April 2025, with early practical implementations already demonstrating its utility.

Conclusion: This extended standard significantly enhances the interoperability and legal robustness of consent management in complex research infrastructures, fostering improved patient autonomy and trust in digital health data reuse.

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