Literature DB >> 23246614

The ISO/IEC 11179 norm for metadata registries: does it cover healthcare standards in empirical research?

Sylvie M N Ngouongo1, Matthias Löbe, Jürgen Stausberg.   

Abstract

In order to support empirical medical research concerning reuse and improvement of the expressiveness of study data and hence promote syntactic as well as semantic interoperability, services are required for the maintenance of data element collections. As part of the project for the implementation of a German metadata repository for empirical research we assessed the ability of ISO/IEC 11179 "Information technology - Metadata registries (MDR)" part 3 edition 3 Final Committee Draft "Registry metamodel and basic attributes" to represent healthcare standards. First step of the evaluation was a reformulation of ISO's metamodel with the terms and structures of the different healthcare standards. In a second step, we imported instances of the healthcare standards into a prototypical database implementation representing ISO's metamodel. Whereas the flat structure of disease registries as well as some controlled vocabularies could be easily mapped to the ISO's metamodel, complex structures as used in reference models of electronic health records or classifications could be not exhaustively represented. A logical reconstruction of an application will be needed in order to represent them adequately. Moreover, the correct linkage between elements from ISO/IEC 11179 edition 3 and concepts of classifications remains unclear. We also observed some restrictions of ISO/IEC 11179 edition 3 concerning the representation of items of the Operational Data Model from the Clinical Data Interchange Standards Consortium, which might be outside the scope of a MDR. Thus, despite the obvious strength of the ISO/IEC 11179 edition 3 for metadata registries, some issues should be considered in its further development.
Copyright © 2012 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 23246614     DOI: 10.1016/j.jbi.2012.11.008

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  8 in total

1.  An exploratory study using an openEHR 2-level modeling approach to represent common data elements.

Authors:  Ching-Heng Lin; Yang-Cheng Fann; Der-Ming Liou
Journal:  J Am Med Inform Assoc       Date:  2016-01-23       Impact factor: 4.497

Review 2.  Current applications and future directions for the CDISC Operational Data Model standard: A methodological review.

Authors:  Sam Hume; Jozef Aerts; Surendra Sarnikar; Vojtech Huser
Journal:  J Biomed Inform       Date:  2016-03-02       Impact factor: 6.317

3.  Composite CDE: modeling composite relationships between common data elements for representing complex clinical data.

Authors:  Hye Hyeon Kim; Yu Rang Park; Suehyun Lee; Ju Han Kim
Journal:  BMC Med Inform Decis Mak       Date:  2020-07-03       Impact factor: 2.796

4.  QL4MDR: a GraphQL query language for ISO 11179-based metadata repositories.

Authors:  H Ulrich; J Kern; D Tas; A K Kock-Schoppenhauer; F Ückert; J Ingenerf; M Lablans
Journal:  BMC Med Inform Decis Mak       Date:  2019-03-18       Impact factor: 2.796

5.  Clinical MetaData ontology: a simple classification scheme for data elements of clinical data based on semantics.

Authors:  Hye Hyeon Kim; Yu Rang Park; Kye Hwa Lee; Young Soo Song; Ju Han Kim
Journal:  BMC Med Inform Decis Mak       Date:  2019-08-20       Impact factor: 2.796

6.  Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse.

Authors:  Stefan Hegselmann; Michael Storck; Sophia Gessner; Philipp Neuhaus; Julian Varghese; Philipp Bruland; Alexandra Meidt; Cornelia Mertens; Sarah Riepenhausen; Sonja Baier; Benedikt Stöcker; Jörg Henke; Carsten Oliver Schmidt; Martin Dugas
Journal:  BMC Med Inform Decis Mak       Date:  2021-05-17       Impact factor: 2.796

Review 7.  Understanding the Nature of Metadata: Systematic Review.

Authors:  Hannes Ulrich; Ann-Kristin Kock-Schoppenhauer; Noemi Deppenwiese; Robert Gött; Jori Kern; Martin Lablans; Raphael W Majeed; Mark R Stöhr; Jürgen Stausberg; Julian Varghese; Martin Dugas; Josef Ingenerf
Journal:  J Med Internet Res       Date:  2022-01-11       Impact factor: 5.428

8.  An Open-Source, Standard-Compliant, and Mobile Electronic Data Capture System for Medical Research (OpenEDC): Design and Evaluation Study.

Authors:  Leonard Greulich; Stefan Hegselmann; Martin Dugas
Journal:  JMIR Med Inform       Date:  2021-11-19
  8 in total

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