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Related Experiment Videos

A process to maintain the quality of a computerized knowledge base.

G J Kuperman1, J M Fiskio, A Karson

  • 1Department of Information Systems, Brigham and Women's Hospital Boston, MA, USA.

Proceedings. AMIA Symposium
|November 24, 1999
PubMed
Summary

Developing a robust knowledge engineering process and using a database to track changes are crucial for maintaining the quality of knowledge bases in clinical decision support systems.

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Area of Science:

  • Medical Informatics
  • Knowledge Engineering

Background:

  • Clinical decision support systems (CDSS) rely on high-quality knowledge bases for effective outpatient care.
  • Maintaining the integrity of these knowledge bases is challenging due to evolving information and multiple contributors.

Purpose of the Study:

  • To describe a process for maintaining the quality of a knowledge base for outpatient clinical decision support.
  • To evaluate the effectiveness of the developed process over a 9-month period.

Main Methods:

  • A knowledge engineering process involving domain experts, a knowledge engineer, and a programmer was established.
  • An MS Access database was utilized to store and track evolving versions of clinical rules.
  • Information transfer protocols were implemented to minimize confusion among collaborators.

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Main Results:

  • Over 9 months, 36 rules were entered into the knowledge base.
  • 17 rules (47%) remained unchanged, while 19 rules (53%) were modified.
  • The database successfully tracked all modifications to the rules.

Conclusions:

  • A structured knowledge engineering process and a dedicated database are essential for preserving the quality of clinical knowledge bases.
  • Effective management of knowledge bases is vital for realizing the full benefits of CDSS and protecting investments in their development.