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Related Experiment Videos

The SQLX system: generating explanations for clinical rules encoded in SQL.

W Sujansky1, M Shwe

  • 1Section on Medical Informatics, Stanford University School of Medicine, CA 94305.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1992
PubMed
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We created SQLX to explain clinical rules in databases. This system provides case-specific explanations for SQL query results, improving user trust in clinical decision support.

Area of Science:

  • Computer Science
  • Medical Informatics

Background:

  • Clinical rules are often encoded in SQL, posing challenges for user interpretation.
  • Improving user acceptance of data-driven clinical rules is crucial for effective healthcare.

Purpose of the Study:

  • To develop a system, SQLX, for generating case-specific explanations of SQL query results.
  • To enhance the usability of clinical decision support systems by integrating explanations directly into SQL queries.

Main Methods:

  • Developed an augmented SQL syntax allowing explanation text incorporation into query specifications.
  • Implemented a query analyzer to identify data contributing to rule firing.
  • Combined retrieved data with explanation text for generating case-specific outputs.

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Main Results:

  • SQLX provides intuitive, case-specific explanations for clinical rules derived from SQL queries.
  • The system integrates explanation generation directly within the SQL query model.
  • Accommodates a wide range of SQL query formulations for efficient processing.

Conclusions:

  • SQLX offers an effective method for explaining SQL-based clinical rules, enhancing user comprehension and acceptance.
  • While not a general-purpose solution, SQLX significantly improves the interpretability of clinical data for specific applications.
  • The system demonstrates the potential of augmented SQL for more transparent clinical decision support.