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Related Experiment Videos

Structuring clinical practice guidelines in a relational database model for decision support on the Internet

D F Lobach1, C S Gadd, J W Hales

  • 1Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, USA.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1997
PubMed
Summary
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This study developed a generalized knowledge base using a relational database to computerize clinical practice guidelines (CPGs). The model successfully captured guideline content and logic for decision support applications.

Area of Science:

  • Medical Informatics
  • Computer Science

Background:

  • The increasing volume of clinical practice guidelines (CPGs) necessitates computerization for clinician usability.
  • Transforming CPG content and logic into computer-accessible formats is a key challenge.

Purpose of the Study:

  • To develop a generalized guideline knowledge base using a relational database.
  • To enable computerization of CPGs for Internet-based decision support applications.

Main Methods:

  • Utilized a relational database model to construct the knowledge base.
  • Employed a hybrid approach combining structured and procedural knowledge representation schemes.
  • Developed and refined the model using five diverse CPGs.

Main Results:

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  • Successfully created a database schema capable of computerizing CPGs.
  • The developed model accommodated all necessary representational requirements for diverse guidelines.
  • Demonstrated the feasibility of capturing guideline content and logic within a relational database.

    • Conclusions:

    • A relational database model with hybrid knowledge representation is effective for computerizing CPGs.
    • This approach facilitates the development of Internet-based clinical decision support systems.
    • The generalized knowledge base can be applied to various CPGs.