Literature DB >> 12874654

Considerations for the representation of meta-data for the support of structured data entry.

A M van Ginneken1.   

Abstract

OBJECTIVES: Research and decision support require patient data to be structured. Flexible data representation, to cope with expansion and new recording demands, can be achieved through abstraction of the data model. Such a model, however, does not include explicit information for the support of structured data entry (SDE), i.e. the definition of what is relevant to say in a specific context. The objective of this paper is to provide considerations for an intuitive conceptual representation of such meta-data for domain experts.
METHODS: The content of meta-data for SDE is compared with that of controlled medical terminologies in the context of its purpose.
RESULTS: Upon analysis of medical descriptions, a network and a tree both emerge as an intuitive structure to represent meta-data for the support of SDE. The pros and cons of a tree versus a network are dominated by the challenges of representing multiple contexts for description. Meta-data for SDE only partially overlap with the content of controlled medical terminologies.
CONCLUSIONS: Integration of meta-data for SDE and controlled terminologies would benefit standardization and retrieval, but the requirements for flexible data entry are at odds with the rigidity and limited granularity of a standard. The preferred strategy seems to be a mapping between the concepts from a terminology standard and meta-data for SDE.

Entities:  

Mesh:

Year:  2003        PMID: 12874654

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  6 in total

1.  OpenSDE: Row modeling applied to generic structured data entry.

Authors:  Renske K Los; Astrid M van Ginneken; Marcel de Wilde; Johan van der Lei
Journal:  J Am Med Inform Assoc       Date:  2003-12-07       Impact factor: 4.497

2.  The first step toward data reuse: disambiguating concept representation of the locally developed ICU nursing flowsheets.

Authors:  Hyeoneui Kim; Marcelline R Harris; Guergana K Savova; Christopher G Chute
Journal:  Comput Inform Nurs       Date:  2008 Sep-Oct       Impact factor: 1.985

3.  The Common Data Elements for cancer research: remarks on functions and structure.

Authors:  P M Nadkarni; C A Brandt
Journal:  Methods Inf Med       Date:  2006       Impact factor: 2.176

4.  Structured data entry for narrative data in a broad specialty: patient history and physical examination in pediatrics.

Authors:  Sacha E Bleeker; Gerarda Derksen-Lubsen; Astrid M van Ginneken; Johan van der Lei; Henriëtte A Moll
Journal:  BMC Med Inform Decis Mak       Date:  2006-07-13       Impact factor: 2.796

5.  Does Computerized Physician Order Entry Benefit from Dynamic Structured Data Entry? A Quasi-Experimental Study.

Authors:  George Linn; Yung-Hsiang Ying; Koyin Chang
Journal:  BMC Med Inform Decis Mak       Date:  2018-11-26       Impact factor: 2.796

6.  Is OpenSDE an alternative for dedicated medical research databases? An example in coronary surgery.

Authors:  Angeliek C Venema; Astrid M van Ginneken; Marcel de Wilde; Ad J J C Bogers
Journal:  BMC Med Inform Decis Mak       Date:  2007-10-22       Impact factor: 2.796

  6 in total

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