In recent decades, the analytical quality of clinical laboratory results has substantially increased because of collaborative efforts. To effectively utilize laboratory results in applications, such as machine learning through big data, understanding the level of harmonization for each test would be beneficial. We aimed to develop a quantitative harmonization index that reflects the harmonization status of real-world laboratory tests.

中文翻译：

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使用外部质量评估数据对实验室测试项目的现实世界协调状态进行定量评估。


近几十年来，由于合作的努力，临床实验室结果的分析质量大幅提高。为了在应用中有效利用实验室结果，例如通过大数据进行机器学习，了解每个测试的协调程度将是有益的。我们的目标是开发一个定量的协调指数，反映现实世界实验室测试的协调状态。