台湾国家健康保险研究数据库 (NHIRD):在人工智能,因果推理和数据安全时代
Cheng-Yang Hsieh1,2, Shih-Chieh Shao2,3,4, Sheng-Feng Sung5,6
1Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan.
Clinical epidemiology
|December 1, 2025
概括
台湾国家健康保险研究数据库 (NHIRD) 已扩展其能力,增加了新的数据类型和验证研究. 目前正在进行的改革解决了数据标准化和隐私等挑战,确保其作为现实世界证据和人工智能研究的关键资源的未来.
科学领域:
- 医疗信息学 医疗信息学
- 现实世界的证据生成
- 医疗保健中的人工智能
背景情况:
- 台湾国家健康保险研究数据库 (NHIRD) 是产生真实世界的证据的重要资源.
- 在台湾国家健康保险计划成立30周年之际,NHIRD正在进行重新评估.
- 审查的关键领域包括数据库的发展,挑战和未来的轨迹.
研究的目的:
- 提供NHIRD的最新审查.
主要方法:
- 进行了叙事审查,综合了2019-2024年的研究,报告和政策文件.
- 总结了数据库基础设施,数据收集,验证,链接,治理和互操作性的发展.
- 专注于对现实世界的证据和人工智能驱动的研究的影响.
主要成果:
- 现在NHIRD包括结构化的实验室和医学成像数据,增强了研究范围.
- 验证研究证实了ICD-10-CM代码在流行病学研究中的可靠性.
- 挑战包括数据标准化,网络安全和隐私问题,促使诸如基于FHIR的基础设施开发,用于人工智能准备和道德治理等举措.
结论:
- 对数据质量,隐私和互操作性进行持续投资对于NHIRD的发展至关重要.
- 持续的改革使NHIRD成为现实世界的证据和全球健康贡献的领先资源.
- 国家医疗健康与发展研究所正在适应,以平衡伦理治理与科学创新,以推动数字医学的进步.
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