.png){kind=icon}
返回
Composite CDE: modeling composite relationships between common data elements for representing complex clinical data
.png){kind=icon}
OA
AI
DOI：10.1186/s12911-020-01168-0.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Background Semantic interoperability is essential for improving data quality and sharing. The ISO/IEC 11179 Metadata Registry (MDR) standard has been highlighted as a solution for standardizing and registering clinical data elements (DEs). However, the standard model has both structural and semantic limitations, and the number of DEs continues to increase due to poor term reusability. Semantic types and constraints are lacking for comprehensively describing and evaluating DEs on real-world clinical documents. Methods We addressed these limitations by defining three new types of semantic relationship (dependency,composite, andvariable) in our previous studies. The present study created new and further extended existing semantic types (hybridatomic andrepeatedanddictionarycomposite common data elements [CDEs]) with four constraints:ordered,operated,required, anddependent. For evaluation, we extracted allatomicandcompositeCDEs from five major clinical documents from five teaching hospitals in Korea, 14 Fast Healthcare Interoperability Resources (FHIR) resources from FHIR bulk sample data, and MIMIC-III (Medical Information Mart for Intensive Care) demo dataset. Metadata reusability and semantic interoperability in real clinical settings were comprehensively evaluated by applying the CDEs with our extended semantic types and constraints. Results All of the CDEs (n = 1142) extracted from the 25 clinical documents were successfully integrated with a very high CDE reuse ratio (46.9%) into 586 CDEs (259atomicand 20 uniquecompositeCDEs), and all of CDEs (n = 238) extracted from the 14 FHIR resources of FHIR bulk sample data were successfully integrated with high CDE reuse ration (59.7%) into 96 CDEs (21 atomic and 28 unique composite CDEs), which improved the semantic integrity and interoperability without any semantic loss. Moreover, the most complex data structures from two CDE projects were successfully encoded with rich semantics and semantic integrity. Conclusion MDR-based extended semantic types and constraints can facilitate comprehensive representation of clinical documents with rich semantics, and improved semantic interoperability without semantic loss.
Keyword:
Common data elements
Semantic interoperability
Semantic relationship
Metadata registry
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
4.4K
被引数:
1.2W
机构
引用论文
Polymerization of allyl esters of unsaturated acids. I. Cyclopolymerization of methyl allyl maleate
PREAI
分享收藏Standardizing the Structure of Stroke Clinical and Epidemiologic Research Data The National Institute of Neurological Disorders and Stroke (NINDS) Stroke Common Data Element (CDE) Project.png)
STROKEOAAI
STROKEIF8.9
OAAI分享收藏分享收藏分享收藏Viability of Traditional Banking Activities: Evidence from Shifts in Conduct and Excess Capacity
PREAI
分享收藏
查看更多内容