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Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines


[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication


Published in

Artificial Intelligence in Medicine

Journal year: 2023 | Journal volume: vol. 140

Article type

scientific article

Publication language


  • Clinical practice guidelines
  • Multi-morbidity
  • Automated planning
  • Graph rewriting

EN Clinical practice guidelines (CPGs) are patient management tools that synthesize medical knowledge into an actionable format. CPGs are disease specific with limited applicability to the management of complex patients suffering from multimorbidity. For the management of these patients, CPGs need to be augmented with secondary medical knowledge coming from a variety of knowledge repositories. The operationalization of this knowledge is key to increasing CPGs’ uptake in clinical practice. In this work, we propose an approach to operationalizing secondary medical knowledge inspired by graph rewriting. We assume that the CPGs can be represented as task network models, and provide an approach for representing and applying codified medical knowledge to a specific patient encounter. We formally define revisions that model and mitigate adverse interactions between CPGs and we use a vocabulary of terms to instantiate these revisions. We demonstrate the application of our approach using synthetic and clinical examples. We conclude by identifying areas for future work with the vision of developing a theory of mitigation that will facilitate the development of comprehensive decision support for the management of multimorbid patients.

Date of online publication


Pages (from - to)

102550-1 - 102550-11





Article Number: 102550

Ministry points / journal


Impact Factor

7,5 [List 2022]

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