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Declarative Guideline Conformance Checking of Clinical Treatments: A Case Study

arXiv 2209.09535 ↗First posted 20 Sep 2022cs.AIcited by 0

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Abstract (arXiv)

Conformance checking is a process mining technique that allows verifying the conformance of process instances to a given model. Thus, this technique is predestined to be used in the medical context for the comparison of treatment cases with clinical guidelines. However, medical processes are highly variable, highly dynamic, and complex. This makes the use of imperative conformance checking approaches in the medical domain difficult. Studies show that declarative approaches can better address these characteristics. However, none of the approaches has yet gained practical acceptance. Another challenge are alignments, which usually do not add any value from a medical point of view. For this reason, we investigate in a case study the usability of the HL7 standard Arden Syntax for declarative, rule-based conformance checking and the use of manually modeled alignments. Using the approach, it was possible to check the conformance of treatment cases and create medically meaningful alignments for large parts of a medical guideline.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 29 references that are in the map. First posted on arXiv 20 Sep 2022.

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References · 2

  1. 2015Conformance Checking Based on Multi-Perspective Declarative Process Modelscited by 13
  2. 2020Conformance checking: A state-of-the-art literature reviewcited by 7

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