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Evaluation of the Clinical Data Dictionary (CiDD)

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Objectives: The purpose of the study was to evaluate content coverage and data quality of the Clinical Data Dictionary(CiDD) developed by the Center for Interoperable EHR (CiEHR). Methods: A total of 12,994 terms were collected from 98 clinical forms of a tertiary cancer center hospital with 500 beds. After data cleaning, 9,418 terms were mapped with the data items of the CiDD by the research team, and validated by 30 doctors and nurses at the research hospital. Results: Mapping results were classified into five categories: lexically mapped; semantically mapped; mapped to either a broader term or a narrower term; mapped to more than one term and not mapped. In terms of coverage, out of 9,418 terms, 6,750 (71.7%) terms were mapped; 4,319 (45.9%) terms were lexically mapped; 2,431 (25.8%) were semantically mapped; 281 (3.0%) terms were mapped to a broader term; 43 (0.5%) were mapped to a narrower term; and 550 (5.8%) were mapped to more than one term. In terms of data quality, the CiDD has problems such as errors in concept namingand representation, redundancy in synonyms, inadequate synonyms, and ambiguity in meaning. Conclusions: Although the CiDD has terms covering 72% of local clinical terms, the CiDD can be improved by cleaning up errors and redundancies, adding textual definitions or use cases of the concept, and arranging the concepts in a hierarchy.

Abstract

Objectives: The purpose of the study was to evaluate content coverage and data quality of the Clinical Data Dictionary(CiDD) developed by the Center for Interoperable EHR (CiEHR). Methods: A total of 12,994 terms were collected from 98 clinical forms of a tertiary cancer center hospital with 500 beds. After data cleaning, 9,418 terms were mapped with the data items of the CiDD by the research team, and validated by 30 doctors and nurses at the research hospital. Results: Mapping results were classified into five categories: lexically mapped; semantically mapped; mapped to either a broader term or a narrower term; mapped to more than one term and not mapped. In terms of coverage, out of 9,418 terms, 6,750 (71.7%) terms were mapped; 4,319 (45.9%) terms were lexically mapped; 2,431 (25.8%) were semantically mapped; 281 (3.0%) terms were mapped to a broader term; 43 (0.5%) were mapped to a narrower term; and 550 (5.8%) were mapped to more than one term. In terms of data quality, the CiDD has problems such as errors in concept namingand representation, redundancy in synonyms, inadequate synonyms, and ambiguity in meaning. Conclusions: Although the CiDD has terms covering 72% of local clinical terms, the CiDD can be improved by cleaning up errors and redundancies, adding textual definitions or use cases of the concept, and arranging the concepts in a hierarchy.

참고문헌 (9)

  1. AHIMA e-HIM Workgroup on EHR Data Content, "Guidelines for developing a data dictionary", J AHIMA, 77, pp.64A~64D (2006)
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  4. "Linguistic mapping of terminologies to SNOMED CT. Proceedings of Semantic Mining Conference on SNOMED-CT"[URL]
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  6. "Semantic problems of thesaurus mapping"[URL]
  7. 최인숙, "디지털자료실지원센터 종합목록 데이터 품질평가 및 관리 방안", 한국문헌정보학회지, 38(3), pp.119~139 (2004), 한국문헌정보학회
  8. Yeganeh NK, "Data quality aware queries in collaborative information systems in Advances in data and web management", pp.39~50 (2009), Springer
  9. Pipino L, "Data quality assessment", Commun ACM, 45, pp.211~218 (2002)

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