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A data model that captures clinical reasoning about patient problems

R C Barrows1, S B Johnson

  • 1Department of Medical Informatics, Columbia University, New York, NY, USA.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1995
PubMed
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A new data model for the CPMC Ambulatory Care System captures evolving clinical understanding of patient problems. This approach offers clinical utility for research and medical audits.

Area of Science:

  • Health Informatics
  • Clinical Data Modeling

Background:

  • Existing data models often fail to capture the dynamic nature of clinical reasoning.
  • There is a need for models that reflect the evolution of understanding patient problems over time.

Purpose of the Study:

  • To describe a novel data model implemented in the CPMC Ambulatory Care System.
  • To demonstrate the model's capability in representing the progression of clinical understanding for patient problems.

Main Methods:

  • Implementation of a new data model within an existing ambulatory care system.
  • Exemplification of the model's functionality using patient problem scenarios.

Main Results:

  • The model successfully captures nuances of clinical thinking, including the evolution of understanding patient problems.

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  • The implemented model provides a record of evolving clinical insights.

    • Conclusions:

    • The developed data model offers significant clinical utility for patient problem management.
    • The model supports research interests and medical audit requirements by documenting evolving clinical understanding.