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

D F Lobach; C S Gadd; J W Hales

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PubMed · 9357608

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

D F Lobach·C S Gadd·J W Hales

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Abstract

The rapid proliferation of clinical practice guidelines (CPGs) has made computerization increasingly useful to clinicians. Computerization, however, requires transformation of the content and logic of each guideline into a computer-accessible form. In this project, we sought to use a relational database to construct a generalized guideline knowledge base for use with Internet-based decision support applications. We hypothesized that knowledge representation schemes could be developed to capture guideline content and logic within the constraints of a relational database model. In this paper we describe a database schema based on a relational model for computerizing CPGs using a hybrid of structured and procedural knowledge representation schemes. We developed and refined this model in the context of five diverse CPGs and found it accommodated all necessary representational requirements.

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Algorithms Artificial Intelligence Computer Communication Networks Databases as Topic Decision Support Systems, Clinical Decision Support Techniques Practice Guidelines as Topic Journal Article Research Support, U.S. Gov't, P.H.S.

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D F Lobach, C S Gadd, J W Hales. 1997. Structuring clinical practice guidelines in a relational database model for decision support on the Internet.. https://pubmed.ncbi.nlm.nih.gov/9357608/

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