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Providing concept-oriented views for clinical data using a knowledge-based system: an evaluation.

Qing Zeng1, James J Cimino, Kelly H Zou

  • 1Decision System Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. Qzeng@dsg.harvard.edu

Journal of the American Medical Informatics Association : JAMIA
|April 25, 2002
PubMed
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This study shows that concept-oriented views generated by a knowledge-based system can reduce clinician information overload and improve the accuracy of retrieving patient data from electronic health records.

Area of Science:

  • Medical Informatics
  • Clinical Decision Support

Background:

  • Traditional clinical information systems organize patient data chronologically by source, potentially leading to information overload.
  • Physician access to relevant patient data is crucial for effective clinical decision-making.

Purpose of the Study:

  • To evaluate a knowledge-based system that generates concept-oriented views of clinical data.
  • To assess the system's ability to reduce information overload and enhance physician data retrieval.

Main Methods:

  • Developed a system using a medical concept knowledge base to infer relationships in electronic medical records.
  • Generated concept-oriented views and evaluated their relevance, information reduction, and impact on retrieval accuracy and time.
  • Calculated system sensitivity and specificity for identifying relevant patient information.

Related Experiment Videos

Main Results:

  • The system demonstrated 70-80% sensitivity and specificity in identifying relevant clinical information.
  • Concept-oriented views reduced retrieved information by over 80%.
  • Physician retrieval accuracy improved significantly (p=0.04) compared to source-oriented views.

Conclusions:

  • Computer-generated, concept-oriented views effectively reduce clinician information overload.
  • This approach enhances the accuracy and efficiency of clinical data retrieval.