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Modeling the temporal complexities of symptoms

R H Dolin1

  • 1Kaiser Permanente, La Palma, CA 90623, USA.

Journal of the American Medical Informatics Association : JAMIA
|September 1, 1995
PubMed
Summary

This study developed a conceptual data model for symptom temporal data, addressing temporal uncertainty. The object-oriented approach allows for inheritance, aiding in standardizing temporal event descriptions in medical informatics.

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Area of Science:

  • Medical Informatics
  • Data Modeling
  • Temporal Reasoning

Background:

  • Existing temporal models often lack representation for incomplete or uncertain event times.
  • Symptom timing is crucial in healthcare but frequently imprecise.
  • Object-oriented modeling is gaining traction in medical informatics standards development.

Purpose of the Study:

  • To develop a high-level conceptual data model for the temporal aspects of symptom data.
  • To incorporate temporal uncertainty into the data model.
  • To provide a foundation for standardizing temporal event descriptions.

Main Methods:

  • Utilized an object-oriented modeling technique.
  • Focused on representing temporal relationships and uncertainty.
  • Defined temporal comparators for event-to-event relationships.

Main Results:

  • A conceptual data model for temporal symptom data, including uncertainty, was successfully developed.
  • The object-oriented approach facilitates inheritance of temporal attributes by other medical objects (e.g., problems).

Conclusions:

  • The developed temporal comparators can form the basis for standardizing terms describing temporal event relationships.
  • The model prioritizes expressiveness over queryability, a trade-off requiring further analysis.
  • Potential modifications to the model may be needed to balance representation and query performance.

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