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

Jeong S, Kim HH, Park YR, Kim JH - Healthc Inform Res (2014)

Bottom Line: The ICC among the three indexers was estimated to be 0.59 (95% confidence interval, 0.52-0.66).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.

View Article: PubMed Central - PubMed

Affiliation: National Center for Medical Information and Knowledge, Korea National Institute of Health, Cheongju, 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.

No MeSH data available.


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.
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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.

Mentions: The structure of the CDEO arises partly as a compromise between existing clinical document models. Figure 3 shows that five of the nine top concepts in the object class correspond to those in the three clinical document models. Agent corresponds to the subtypes of Entity in the RIM and to Practice Setting and Clinical Category in the DO via Social Agent and Social Group. Activity corresponds to Act in the RIM and to Documenting Act (i.e., report) and Temporal Event (i.e., discharge) in the initial version of the DO; Clinical Finding corresponds to Observation and Sign and Symptom corresponds to Opinion in the CIR; and Artifact-via Document-corresponds to Kind of Narrative in the DO. Anatomy and Phenomenon were introduced because they include many subconcepts that appear frequently in MDRs.


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

Jeong S, Kim HH, Park YR, Kim JH - Healthc Inform Res (2014)

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.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4231180&req=5

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.
Mentions: The structure of the CDEO arises partly as a compromise between existing clinical document models. Figure 3 shows that five of the nine top concepts in the object class correspond to those in the three clinical document models. Agent corresponds to the subtypes of Entity in the RIM and to Practice Setting and Clinical Category in the DO via Social Agent and Social Group. Activity corresponds to Act in the RIM and to Documenting Act (i.e., report) and Temporal Event (i.e., discharge) in the initial version of the DO; Clinical Finding corresponds to Observation and Sign and Symptom corresponds to Opinion in the CIR; and Artifact-via Document-corresponds to Kind of Narrative in the DO. Anatomy and Phenomenon were introduced because they include many subconcepts that appear frequently in MDRs.

Bottom Line: The ICC among the three indexers was estimated to be 0.59 (95% confidence interval, 0.52-0.66).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.

View Article: PubMed Central - PubMed

Affiliation: National Center for Medical Information and Knowledge, Korea National Institute of Health, Cheongju, 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.

No MeSH data available.