Suppr超能文献

罕见病:数字健康时代的伦理挑战

Rare diseases: ethical challenges in the era of digital health.

作者信息

Siderius Liesbeth, Perera Sahan Damsiri, Jankauskaite Lina, Bhattacharya Anjan, Gonçalves Paulo

机构信息

Youth Health Care, Almere, Netherlands.

Rare Care World Foundation, Loosdrecht, Netherlands.

出版信息

Front Digit Health. 2025 Jul 9;7:1539841. doi: 10.3389/fdgth.2025.1539841. eCollection 2025.

Abstract

To improve the health and wellbeing outcomes of people with rare conditions, it is necessary to integrate all aspects of health and wellbeing. Digital health technologies can appropriately capture and share harmonised data between care providers and the individuals concerned. The quality of digital health is dependent on defined data points reflecting the actual medical and societal situation and register changes when new diagnostics or therapies become available. The life experiences of individuals living with a condition, individually or as a group, are underrepresented in the digitalising world. This narrative review addresses rare conditions as an entity, public health strategies, digital health opportunities, and ethical considerations. The challenge is illustrated by comparing data gathered by manually selected data points with advanced artificial intelligence systems. In this new digital era, we consider the philosopher Kant's notion of noumena: "Only individuals with rare disabling conditions can genuinely convey the reality of living with those conditions". In conclusion, there is a pressing demand to embed the needs and experiences of people in all new technologies.

摘要

为改善罕见病患者的健康和福祉状况,有必要整合健康和福祉的各个方面。数字健康技术能够在医疗服务提供者和相关个体之间恰当地获取并共享协调一致的数据。数字健康的质量取决于反映实际医疗和社会状况的特定数据点,并在新的诊断方法或治疗手段出现时记录变化。在数字化世界中,患有某种疾病的个体的生活经历,无论是个体还是群体,都未得到充分体现。这篇叙述性综述将罕见病作为一个整体、公共卫生策略、数字健康机遇以及伦理考量进行探讨。通过将手动选择的数据点收集的数据与先进的人工智能系统进行比较,说明了这一挑战。在这个新的数字时代,我们思考哲学家康德的本体概念:“只有患有罕见致残疾病的个体才能真正传达患有这些疾病的生活现实”。总之,迫切需要将人们的需求和经历融入所有新技术之中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ed7/12283590/619e01eddb54/fdgth-07-1539841-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验