构建基础数字健康数据整合生态系统的挑战和战略:系统性审查和专题综合
Radha Ambalavanan1, R Sterling Snead1, Julia Marczika1
1Research Department, The Self Research Institute, Broken Arrow, OK, United States.
Frontiers in health services
|July 7, 2025
概括
碎片化的健康数据阻碍了个性化护理和基因组数据集成. 本综述综合了基础数字健康生态系统的战略,解决了互操作性和患者参与方面的挑战.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 数据整合数据集成
背景情况:
- 分碎的医疗数据生态系统阻碍了互操作性,以患者为中心的护理 (PCC) 和基因组数据集成.
- 强大的数据集成对于个性化护理,实时决策和管理慢性病的安全信息交换至关重要.
研究的目的:
- 确定数字健康数据整合的关键挑战.
- 综合现有战略,开发一个基础的数据集成生态系统.
- 为了推动可扩展,保护隐私的健康数据基础设施的进步.
主要方法:
- 按照PRISMA指南进行系统的文献审查.
- 主题综合方法对发现进行分类.
- 包括161项专注于互操作性,PCC和基因组数据集成的研究.
主要成果:
- 确定了挑战:语义错位 (HL7 FHIR,SNOMED CT),有限的数据交换,不充分的EHR患者参与,以及基因组数据安全性/实用性问题.
- 综合策略:基于本体学的互操作性,人工智能支持的PCC框架,以及基因组数据治理的区块链.
- 突出需要可扩展,保护隐私和道德管理的数据共享基础设施.
结论:
- 分析了当前的方法和研究差距,以指导未来的医疗数据集成.
- 为开发先进的数字健康生态系统提供基于证据的基础.
- 支持建立个性化医疗和实时临床干预的基础设施.
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