Title of article
Approaches for creating computer-interpretable guidelines that facilitate decision support
Author/Authors
de Clercq، نويسنده , , Paul A and Blom، نويسنده , , Johannes A. and Korsten، نويسنده , , Hendrikus H.M and Hasman، نويسنده , , Arie، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2004
Pages
27
From page
1
To page
27
Abstract
During the last decade, studies have shown the benefits of using clinical guidelines in the practice of medicine. Although the importance of these guidelines is widely recognized, health care organizations typically pay more attention to guideline development than to guideline implementation for routine use in daily care. However, studies have shown that clinicians are often not familiar with written guidelines and do not apply them appropriately during the actual care process.
enting guidelines in computer-based decision support systems promises to improve the acceptance and application of guidelines in daily practice because the actions and observations of health care workers are monitored and advice is generated whenever a guideline is not followed. Such implementations are increasingly applied in diverse areas such as policy development, utilization management, education, clinical trials, and workflow facilitation. Many parties are developing computer-based guidelines as well as decision support systems that incorporate these guidelines. This paper reviews generic approaches for developing and implementing computer-based guidelines that facilitate decision support. It addresses guideline representation, acquisition, verification and execution aspects. The paper describes five approaches (the Arden Syntax, GuideLine Interchange Format (GLIF), PROforma, Asbru and EON), after the approaches are compared and discussed.
Keywords
Guideline execution , Computer-interpretable guidelines , Guideline acquisition , Guideline verification , Guideline representation
Journal title
Artificial Intelligence In Medicine
Serial Year
2004
Journal title
Artificial Intelligence In Medicine
Record number
1836121
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