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Related Experiment Videos

Access to data: comparing AccessMed with Query by Review

G Hripcsak1, B Allen, J J Cimino

  • 1Department of Medical Informatics, Columbia-Presbyterian Medical Center, New York, NY, USA. hripcsak@columbia.edu

Journal of the American Medical Informatics Association : JAMIA
|July 1, 1996
PubMed
Summary
This summary is machine-generated.

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Query by Review performed better than AccessMed for authoring patient database queries, but neither tool achieved adequate performance. Further development is needed for clinical database query formulation.

Area of Science:

  • Medical Informatics
  • Clinical Data Management

Background:

  • Authoring patient database queries is essential for clinical research and data analysis.
  • Existing tools for query formulation present challenges for users.

Purpose of the Study:

  • To compare the performance of two tools, Query by Review and AccessMed, for authoring patient database queries.
  • To assess the effectiveness of these tools in retrieving relevant vocabulary terms for laboratory queries.

Main Methods:

  • A comparative study involving seven Medical Logic Module authors.
  • Participants used Query by Review and AccessMed to gather terms for eight laboratory queries.
  • Performance was measured by the proportion of correct queries and intersubject agreement.

Main Results:

Related Experiment Videos

  • Query by Review achieved 38% correct queries, outperforming AccessMed's 18% (p = 0.002).
  • Both tools showed low performance and poor intersubject agreement (28% for Query by Review, 21% for AccessMed).
  • Users struggled with distinguishing laboratory tests from batteries and navigating vocabulary hierarchies.

Conclusions:

  • Query by Review, with a more constrained interface, showed slightly better performance than the general-purpose AccessMed.
  • Neither tool met adequate performance standards, highlighting the complexity of clinical database query formulation.
  • Further research and tool development are necessary to improve clinical database query authoring.