A Constraint Satisfaction Approach to Data-Driven Implementation of Clinical Practice Guidelines

Kuziemsky, Craig, O'Sullivan, Dympna, Michalowski, Wojtek, Wilk, Syzmon and Farion, Ken (2008) A Constraint Satisfaction Approach to Data-Driven Implementation of Clinical Practice Guidelines. In: AMIA Annual Symposium Proceedings, 2008. American Medical Informatics Association, Bethesda, MD, pp. 540-544.

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Abstract

Despite significant research efforts, the implementation of computerized clinical practice guidelines (CPG) in practice remains problematic for a number of reasons. In particular most guideline representation models do not deal adequately with incomplete or inconsistent clinical data. We present a constraint satisfaction approach to address such shortcomings by focusing on CPG data rather than CPG representation. We model a CPG as a set of data-driven constraints which are used to generate complete solutions for describing a patient state from incomplete clinical data, where the patient state is confirmed by the user. Inconsistent input data can be temporarily eliminated and final feasible solutions (permitted complete solutions from a CPG) can pinpoint inconsistencies in original input data alongside allowable guideline data. We demonstrate a sample implementation of the approach for a pediatric asthma CPG.

Item Type:	Book Section
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software R Medicine > Healthcare Industry
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	22 Sep 2018 13:03
Last Modified:	22 Sep 2018 13:03
URI:	https://norma.ncirl.ie/id/eprint/3179

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