外部质量评估数据的二次使用 - 估计LOINC编码数据集的测试间变化
Michael Vogeser1, Katharina Habler1
1Institute of Laboratory Medicine, LMU University Hospital, Ludwig-Maximilians-University, Munich, Germany.
Clinical chemistry and laboratory medicine
|January 7, 2026
概括
对于研究至关重要的常规实验室数据,需要更好的标准化. 我们建议使用外部质量评估数据为LOINC代码添加不确定性指标,改善数据协调以获得可靠的科学结论.
科学领域:
- 实验室医学 实验室医学
- 医疗信息学 医疗信息学
- 计量学 计量学 计量学
背景情况:
- 常规实验室数据的二次科学使用依赖于LOINC等语义标准,特别是欧洲健康数据空间 (EHDS).
- 目前使用LOINC的语义标准化忽略了计量学方面,特别是分析限制和测试结果的变化,导致研究数据的统计不确定性.
- 实验室数据的不完全协调阻碍了准确的定量结论,例如建立诊断值.
研究的目的:
- 提出一种新的方法来提高实验室数据语义标准的计量质量.
- 引入使用外部质量评估 (EQA) 数据来注释含不确定性指标的LOINC代码.
- 通过提高数据协调性和可靠性,支持常规诊断数据的二次科学使用.
主要方法:
- 利用外部质量评估 (EQA) 计划的全球数据库.
- 开发和演示用于注释LOINC代码的概念验证分析,使用来自EQA数据的不确定性指标.
- 探索实施拟议的注释策略的各种设计选项.
主要成果:
- 证明了使用EQA数据将不确定性指标分配到LOINC代码的可行性.
- 展示了一种改善研究中使用的实验室数据协调的方法.
- 通过提高数据质量,强调了通过提高数据质量来推进精度研究的潜力.
结论:
- 从EQA数据中获得的不确定性指标的LOINC代码的注释是可行的,并且有利于二级科学数据的使用.
- 这种方法解决了当前语义标准化中的关键计量学差距,减少了研究中的统计不确定性.
- 通过实施这一概念,EQA提供商,编码机构,科学协会和IVD行业之间的合作可以促进精度研究.
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