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相关概念视频

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通过优化EHR数据,促进学习医疗系统循环 临床概念编码过程.

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科学领域:

  • 医疗信息学 医疗信息学
  • 数据管理数据管理
  • 临床数据标准 临床数据标准

背景情况:

  • 电子健康记录 (EHR) 和现实数据 (RWD) 对于改善医疗保健至关重要.
  • 高效的二次使用EHR/RWD需要最佳的管理和映射到行业标准概念 (ISCs).
  • 当前的概念编码挑战导致效率低下的工作流程和外部元数据结构.

研究的目的:

  • 开发标准,可重复的流程,将电子健康数据映射到ISC.
  • 确保在EHR平台生命周期内准确而明确地表示EHR数据.
  • 为人口,专业和服务创建SNOMED-CT特定的映射.

主要方法:

  • 利用了三个相关的项目,重点是将EHR数据映射到ISC.
  • 在EHR平台内开发和实施数据映射的标准流程.
  • 专注于为特定的数据领域创建SNOMED-CT映射:人口统计,专业和服务.

主要成果:

  • 成功地将779个数据元素映射到ISC.
  • 为SNOMED-CT.产生了90个新的概念请求.
  • 将738个新的ISC集成到工作流程中,创建了一个可访问的企业范围的EHR资源.

结论:

  • 标准化,可重复的流程使精确的EHR数据映射到ISCs.
  • 这种方法提高了EHR/RWD用于次要目的的可用性.
  • 开发的资源和流程支持整个企业的数据标准化和可访问性.