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Related Experiment Videos

The availability of unavailable information

M M Kuilboer1, J van der Lei, A M Bohnen

  • 1Department of Medical Informatics, Erasmus University Rotterdam, The Netherlands.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1997
PubMed
Summary

General practitioners often miss crucial patient information in electronic medical records due to various reasons. Understanding these gaps is vital for improving clinical decision support systems.

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Area of Science:

  • Health Informatics
  • Clinical Decision Support
  • General Practice

Background:

  • Electronic medical records (EMRs) are increasingly integrated with clinical decision support (CDS) systems.
  • A significant challenge is the limited amount of recorded medical data within EMRs.
  • System developers must choose between 'non-inquisitive' and 'inquisitive' CDS designs, requiring knowledge of data availability.

Purpose of the Study:

  • To investigate why information is missed from EMRs for asthma/COPD patients.
  • To identify reasons for information unavailability to physicians.
  • To inform system developers about data gaps and their impact on CDS quality.

Main Methods:

  • A simulation study was conducted.
  • Reviewed missed information in EMRs of asthma/COPD patients.

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  • Analyzed reasons for non-recording and unavailability of information by general practitioners.

    • Main Results:

    • Information was missed because physicians did not record it explicitly, assumed common knowledge, or it was available elsewhere.
    • Information could not be provided because decisions were made by others or not recorded during the encounter.
    • Explicit recording, common knowledge assumptions, and data redundancy were key factors in missed information.

    Conclusions:

    • Understanding reasons for missing information is crucial for designing effective CDS.
    • System developers need to assess the significance of missing data for CDS quality.
    • Informed choices between non-inquisitive and inquisitive CDS designs can be made based on data availability and significance.