Using Constraint Logic Programming to Implement Iterative Actions and Numerical Measures during Mitigation of Concurrently Applied Clinical Practice Guidelines

Abstract

Abstract. There is a pressing need in clinical practice to mitigate (identify and address) adverse interactions that occur when a comorbid patient is managed according to multiple concurrently applied diseasespecific clinical practice guidelines (CPGs). In our previous work we described an automatic algorithm for mitigating pairs of CPGs. The algorithm constructs logical models of processed CPGs and employs constraint logic programming to solve them. However, the original algorithm was unable to handle two important issues frequently occurring in CPGs -iterative actions forming a cycle and numerical measurements. Dealing with these two issues in practice relies on a physician's knowledge and the manual analysis of CPGs. Yet for guidelines to be considered stand-alone and an easy to use clinical decision support tool this process needs to be automated. In this paper we take an additional step towards building such a tool by extending the original mitigation algorithm to handle cycles and numerical measurements present in CPGs.

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“…The approach in (Michalowski et al 2013) and (Wilk et al 2013) uses constraint logic programming to identify and address adverse interactions. In this solution, a constraint logic programming (CLP) model is derived from the combination of logical models that represent each CIG, then a mitigation algorithm is applied to detect and mitigate interactions.…”