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Database and knowledge base integration in decision support systems

B Johansson¹, N Shahsavar, H Ahlfeldt

¹Department of Medical Informatics, Linköping University, Sweden.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium

|January 1, 1996

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This study introduces a method to easily link clinical databases with medical knowledge bases using Arden Syntax. It simplifies database queries for decision support system developers, enhancing clinical applications.

Area of Science:

Medical Informatics
Computer Science

Background:

Decision support systems (DSS) in medicine require integration with clinical databases.
Implementing database queries in knowledge bases (KB) can be complex for DSS developers.

Purpose of the Study:

To present a method for linking clinical databases to knowledge bases using Arden Syntax modules.
To simplify the process of implementing database queries for DSS developers.

Main Methods:

A query meta database containing SQL query templates is utilized.
Medical experts reference a code in the query meta database during knowledge module authoring.
The method employs standard tools for cross-platform compatibility.

Main Results:

Related Experiment Videos

Facilitates the integration of clinical data into medical knowledge bases.

Streamlines the development of decision support systems by simplifying database query implementation.

Ensures compatibility across different platforms and clinical databases.

Conclusions:

The proposed method effectively links clinical databases to knowledge bases with Arden Syntax.
It significantly reduces the complexity for DSS developers in managing database queries.
The approach supports diverse platforms and clinical databases, promoting wider adoption.