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Related Experiment Videos

Extracting data recorded with OpenSDE: possibilities and limitations.

Renske K Los1, Astrid M van Ginneken, Johan van der Lei

  • 1Department of Medical Informatics, Ee2157 Erasmus MC, University Medical Center Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands. r.los@erasmusmc.nl

International Journal of Medical Informatics
|June 1, 2005
PubMed
Summary
This summary is machine-generated.

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OpenSDE facilitates structured data entry and extraction for routine care and research. While the entity export tool technically succeeds, its design poses limitations for utilizing extracted data effectively.

Area of Science:

  • Health Informatics
  • Clinical Data Management

Background:

  • OpenSDE is an application designed for structured data entry in clinical research and routine care.
  • Recent development focused on enhancing data entry expressiveness and flexibility.

Purpose of the Study:

  • To investigate the possibilities and limitations of data extraction from the OpenSDE application.
  • To evaluate the current data extraction strategy's impact on data usability.

Main Methods:

  • Data extraction concepts are presented in a tree structure mirroring data entry.
  • Users can select specific concepts for data extraction.
  • Extracted data is converted into a queryable table format.

Main Results:

  • The entity export tool offers a technically sound solution for data extraction.

Related Experiment Videos

  • Obstacles in using extracted data stem from OpenSDE's core design principles.

    • Conclusions:

    • OpenSDE's data extraction is technically feasible but presents usability challenges.
    • The application's fundamental design may limit the practical utility of extracted data.