Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

MitPlan: A Planning Approach to Mitigating Concurrently Applied Clinical Practice Guidelines

Authors

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

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2019

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • clinical practice guidelines
  • multi-morbidity
  • planning
Abstract

EN As the overall population ages, patient complexity and the scope of their care is increasing. Over 60% of the population over 65 years of age suffers from multi-morbidity, which is associated with over two times as many patient-physician encounters. Yet clinical practice guidelines (CPGs) are developed to treat a single disease. To reconcile these two competing issues, we developed a framework for identifying and addressing adverse interactions in multi-morbid patients managed according to multiple CPGs. The framework relies on first-order logic (FOL) to represent CPGs and secondary medical knowledge and FOL theorem proving to establish valid patient management scenarios. In this work, we leverage the framework’s representation capabilities to simplify its mitigation process and cast it as a planning problem represented using the Planning Domain Definition Language (PDDL). We demonstrate the framework’s ability to identify and mitigate adverse interactions using planning actions, add support for durative clinical actions, and show the improved interpretability of management plan recommendations in the context of both proof-of-concept and clinical examples.

Date of online publication

30.05.2019

Pages (from - to)

93 - 103

DOI

10.1007/978-3-030-21642-9_13

URL

https://link.springer.com/chapter/10.1007/978-3-030-21642-9_13

Book

Artificial Intelligence in Medicine : 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019 : Proceedings

Presented on

17th Conference on Artificial Intelligence in Medicine AIME 2019, 26-29.06.2019, Poznan, Poland

Ministry points / chapter

20

Ministry points / conference (CORE)

70

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.