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Related Experiment Videos

Customizing clinical narratives for the electronic medical record interface using cognitive methods.

Pallav Sharda1, Amar K Das, Trevor A Cohen

  • 1Laboratory of Decision Making and Cognition, Department of Biomedical Informatics, Columbia University, 1501 East Central Road, Arlington Heights 60005, USA. pallav.sharda@med.ge.com

International Journal of Medical Informatics
|August 30, 2005
PubMed
Summary

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Structured electronic medical records (EMR) improve recall and reduce errors for healthcare professionals. Cognitive science methods helped create a user-centered EMR format for clinical narratives, enhancing information extraction and clinical assessment.

Area of Science:

  • Cognitive Science
  • Medical Informatics
  • Human-Computer Interaction

Background:

  • Healthcare is transitioning from paper to electronic medical records (EMR).
  • Effective electronic formats for clinical narratives are needed.
  • Cognitive science can guide the structuring of medical texts for EMRs.

Purpose of the Study:

  • To investigate the effectiveness of structured vs. narrative discharge summaries in electronic medical records.
  • To apply cognitive science methodologies to optimize EMR presentation of clinical narratives.
  • To enhance user customization and information extraction within the EMR.

Main Methods:

  • Studied discharge summary use by psychiatrists (experts, intermediates, novices).
  • Compared narrative and structured summary formats.

Related Experiment Videos

  • Used qualitative analysis of verbalized assessments and cognitive recall/inference.

    • Main Results:

    • Intermediate and novice psychiatrists showed improved recall with structured summaries.
    • Novices made more inferences from structured summaries.
    • Fewer errors were observed when using structured discharge summaries.

    Conclusions:

    • Cognitive methods successfully extracted end-user conceptual representations of clinical narratives.
    • Structured medical text in EMRs can improve information recall and reduce clinical errors.
    • User-centered design is crucial for effective electronic medical record implementation.