将瘤学疾病的ICD-10代码映射到OncoTree:学到的经验教训
Tessa Ohlsen1,2, Anke Neumann1,2, Josef Ingenerf2
1Institute of Medical Biometric and Statistics, Section for Clinical Research IT, University of Luebeck and University Hospital Schleswig-Holstein, Luebeck, Germany.
Studies in health technology and informatics
|August 8, 2025
概括
一个新的映射将国际疾病分类第10版 (ICD-10) 癌症代码与详细的OncoTree分类系统连接起来. 这个桥梁提高了癌症数据的一致性和研究,达到86.18%的准确性.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 生物信息学是一种生物信息学.
背景情况:
- 国际疾病分类第10版 (ICD-10) 在临床实践中被广泛用于瘤分类.
- 科树分类系统为研究和临床试验提供了更细粒度的,分子知情的瘤层次结构,这对于研究和临床试验至关重要.
- 在ICD-10的广泛性和OncoTree的详细性之间存在差异,阻碍了数据集成.
研究的目的:
- 开发ICD-10和OncoTree癌症分类系统之间的强大映射.
- 为了促进更好的数据比较和使用标准化癌症术语的临床试验招生.
- 解决在研究和临床环境中对癌症编码的统一方法的需求.
主要方法:
- 由于ICD-10和OncoTree之间的结构差异,因此设计了一种绘制策略,利用系统化医学命名法临床术语 (SNOMED CT) 作为中间体.
- 绘制过程涉及将两个编码系统的概念通过SNOMED CT.对齐.
- 与结构差异和绘图不准确性相关的挑战在开发过程中被确定并解决.
主要成果:
- 成功开发了ICD-10和OncoTree之间的映射.
- 该测绘实现了86.18%的令人满意的准确率.
- 开发的绘图表明了整合这些不同的癌症分类系统的可行性.
结论:
- 创建ICD-10到OncoTree映射是协调癌症数据的重要一步.
- 取得的准确率表明了这种映射在研究和临床应用中的潜在实用性.
- 建议进一步完善映射过程,以便无地集成到生产系统中,并更广泛地采用.
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