Healthc Inform Res.  2014 Oct;20(4):295-303. 10.4258/hir.2014.20.4.295.

Clinical Data Element Ontology for Unified Indexing and Retrieval of Data Elements across Multiple Metadata Registries

Affiliations
  • 1National Center for Medical Information and Knowledge, Korea National Institute of Health, Cheongju, Korea.
  • 2Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea. juhan@snu.ac.kr
  • 3Department of Biomedical Informatics, Asan Medical Center, Seoul, Korea.
  • 4Systems Biomedical Informatics National Core Research Center (SBI-NCRC), Seoul National University College of Medicine, Seoul, Korea.

Abstract


OBJECTIVES
Classification of data elements (DEs), which is used in clinical documents is challenging, even in across ISO/IEC 11179 compliant clinical metadata registries (MDRs) due to no existence of reliable standard for identifying DEs. We suggest the Clinical Data Element Ontology (CDEO) for unified indexing and retrieval of DEs across MDRs.
METHODS
The CDEO was developed through harmonization of existing clinical document models and empirical analysis of MDRs. For specific classification as using data element concept (DEC), The Simple Knowledge Organization System was chosen to represent and organize the DECs. Six basic requirements also were set that the CDEO must meet, including indexing target to be a DEC, organizing DECs using their semantic relationships. For evaluation of the CDEO, three indexers mapped 400 DECs to more than 1 CDEO term in order to determine whether the CDEO produces a consistent index to a given DEC. The level of agreement among the indexers was determined by calculating the intraclass correlation coefficient (ICC).
RESULTS
We developed CDEO with 578 concepts. Through two application use-case scenarios, usability of the CDEO is evaluated and it fully met all of the considered requirements. The ICC among the three indexers was estimated to be 0.59 (95% confidence interval, 0.52-0.66).
CONCLUSIONS
The CDEO organizes DECs originating from different MDRs into a single unified conceptual structure. It enables highly selective search and retrieval of relevant DEs from multiple MDRs for clinical documentation and clinical research data aggregation.

Keyword

Data Sharing; Registries; Semantics; Information Storage and Retrieval; Ontology

MeSH Terms

Abstracting and Indexing as Topic*
Classification
Data Collection
Information Dissemination
Information Storage and Retrieval
Registries*
Semantics

Figure

  • Figure 1 Correspondence between the classification metamodel and the SKOS-based CDEO. Adapted from the classification metamodel region in ISO/IEC FDIS 11179-3:2012(E).

  • Figure 2 (A) Resource Description Framework (RDF) graph model and (B) serialization of concepts using Simple Knowledge Organization System (SKOS).

  • Figure 3 The organization of the Clinical Data Element Ontology (CDEO) was derived from existing clinical document models. CIR: Clinical Investigation Record, DO: Document Ontology, RIM: Reference Information Model.

  • Figure 4 Two use-case scenarios of the Clinical Data Element Ontology (CDEO). (A) User queries against the single metadata registry (MDR), (B) user queries against the multiple MDR by using Index Ontology (IDO). RDF: Resource Description Framework, URI: unique resource identifier.


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