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Avoiding Medication Conflicts for Patients with Multimorbidities

  • Andrii Kovalov
  • Juliana Küster Filipe BowlesEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9681)

Abstract

Clinical pathways are care plans which detail essential steps in the care of patients with a specific clinical problem, usually a chronic disease. A pathway includes recommendations of medications prescribed at different stages of the care plan. For patients with three or more chronic diseases (known as multimorbidities) the multiple pathways have to be applied together. One common problem for such patients is the adverse interaction between medications given for different diseases. This paper proposes a solution for avoiding medication conflicts for patients with multimorbidities through the use of formal methods. We introduce the notion of a pharmaceutical graph to capture the medications associated to different stages of a pathway. We then explore the use of an optimising SMT solver (Z3) to quickly find the set of medications with the minimal number and severity of conflicts which is assumed to be the safest. We evaluate the approach on a well known case of an elderly patient with five multimorbidities.

Keywords

Chronic Obstructive Pulmonary Disease Medication Group Clinical Pathway Logical Expression Satisfiability Modulo Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Andrii Kovalov
    • 1
  • Juliana Küster Filipe Bowles
    • 2
    Email author
  1. 1.German Aerospace Center (DLR)Simulation and Software TechnologyBraunschweigGermany
  2. 2.School of Computer ScienceUniversity of St AndrewsSt AndrewsScotland

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