Literature DB >> 16531353

Why are structured data different? Relating differences in data representation to the rationale of OpenSDE.

Renske K Los1, Astrid M van Ginneken, Jolt Roukema, Henriette A Moll, Johan van der Lei.   

Abstract

OpenSDE is an application that supports clinicians with structured recording of narrative patient data to enable use of data in both clinical practice and research. OpenSDE is based on a rationale and requirements for structured data entry. In this study, we analyse the impact of the rationale and the requirements on data representation using OpenSDE. Three paediatricians transcribed 20 paper patient records using OpenSDE. The transcribed records were compared; the findings that were the same in content but differed in representation (e.g. recorded as free text instead of in a structured manner) were categorized in one of three categories of difference in representation. The transcribed records contained 1764 findings in total. The medical content of 302 of these findings was represented differently by at least one clinician and was thus included in this study. In OpenSDE, clinicians are free to determine the degree of detail at which patient data are described. This flexibility accounts for 87% of the differences in data representation. Thirteen per cent of the differences are due to clinicians interpreting and translating phrases from the source text and transcribing these to (different) concepts in OpenSDE. The differences in data representation largely result from initial design decisions for OpenSDE.

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Year:  2005        PMID: 16531353     DOI: 10.1080/14639230500367563

Source DB:  PubMed          Journal:  Med Inform Internet Med        ISSN: 1463-9238


  3 in total

1.  Development of a relational database to capture and merge clinical history with the quantitative results of radionuclide renography.

Authors:  Russell D Folks; Bital Savir-Baruch; Ernest V Garcia; Liudmila Verdes; Andrew T Taylor
Journal:  J Nucl Med Technol       Date:  2012-09-25

2.  A structured registration program can be validly used for quality assessment in general practice.

Authors:  Andrea S Fokkens; P Auke Wiegersma; Sijmen A Reijneveld
Journal:  BMC Health Serv Res       Date:  2009-12-21       Impact factor: 2.655

3.  Double-blind control of the data manager doesn't have any impact on data entry reliability and should be considered as an avoidable cost.

Authors:  Davide Mauri; Vasiliki Karampoiki; Jacopo Mauri; Konstantinos Kamposioras; Georgios Alexiou; Georgios Ferentinos; Lamprini Tsali; Ioanna Karathanasi; Christina Peponi
Journal:  BMC Med Res Methodol       Date:  2008-10-20       Impact factor: 4.615

  3 in total

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