ArticleJournal of the American Medical Informatics Association : JAMIA2012
Quality evaluation of value sets from cancer study common data elements using the UMLS semantic groups.
Article in Journal of the American Medical Informatics Association : JAMIA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- NIH HEAL Clinical Data Elements (CDE) implementation: NIH HEAL Initiative IMPOWR network IDEA-CC.Pain medicine (Malden, Mass.) · 2023Article
- Clinical MetaData ontology: a simple classification scheme for data elements of clinical data based on semantics.BMC medical informatics and decision making · 2019Article
- Unleashing the value of Common Data Elements through the CEDAR Workbench.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- The Use of Inter-terminology Maps for the Creation and Maintenance of Value Sets.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Extended Analysis of Topological-Pattern-Based Ontology Enrichment.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2018Article
- Representation of Time-Relevant Common Data Elements in the Cancer Data Standards Repository: Statistical Evaluation of an Ontological Approach.JMIR medical informatics · 2018Article
- Clinical Concept Value Sets and Interoperability in Health Data Analytics.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Topological-Pattern-Based Recommendation of UMLS Concepts for National Cancer Institute Thesaurus.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Preliminary Analysis of Difficulty of Importing Pattern-Based Concepts into the National Cancer Institute Thesaurus.Studies in health technology and informatics · 2016Article
- Big Data: the challenge for small research groups in the era of cancer genomics.British journal of cancer · 2015Review
- Fingerprinting Biomedical Terminologies--Automatic Classification and Visualization of Biomedical Vocabularies through UMLS Semantic Group Profiles.Studies in health technology and informatics · 2015Article
- Quality Assurance of Cancer Study Common Data Elements Using A Post-Coordination Approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- Enhancing electronic health records to support clinical research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014Article
- Clinical research informatics: a conceptual perspective.Journal of the American Medical Informatics Association : JAMIA · 2012Article
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3 authors.
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Abstract
objectiveThe objective of this study is to develop an approach to evaluate the quality of terminological annotations on the value set (ie, enumerated value domain) components of the common data elements (CDEs) in the context of clinical research using both unified medical language system (UMLS) semantic types and groups. MATERIALS AND
methodsThe CDEs of the National Cancer Institute (NCI) Cancer Data Standards Repository, the NCI Thesaurus (NCIt) concepts and the UMLS semantic network were integrated using a semantic web-based framework for a SPARQL-enabled evaluation. First, the set of CDE-permissible values with corresponding meanings in external controlled terminologies were isolated. The corresponding value meanings were then evaluated against their NCI- or UMLS-generated semantic network mapping to determine whether all of the meanings fell within the same semantic group.
resultsOf the enumerated CDEs in the Cancer Data Standards Repository, 3093 (26.2%) had elements drawn from more than one UMLS semantic group. A random sample (n=100) of this set of elements indicated that 17% of them were likely to have been misclassified. DISCUSSION: The use of existing semantic web tools can support a high-throughput mechanism for evaluating the quality of large CDE collections. This study demonstrates that the involvement of multiple semantic groups in an enumerated value domain of a CDE is an effective anchor to trigger an auditing point for quality evaluation activities.
conclusionThis approach produces a useful quality assurance mechanism for a clinical study CDE repository.
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