@inproceedings{aa17d44012f741ecb54ae08e394cb88d,
title = "Adherence to Guidelines Supported by Process Mining",
abstract = "Background: Adherence to clinical guidelines supports high quality patient care. Conformance checking, a feature of process mining, can potentially automate the assessment of adherence to clinical guidelines in practice. Objectives: This paper investigates appropriate conformance checking in practice. Methods: Conformance checking in practice was simulated with generated test data, a FHIR server and process mining tools. A corresponding literature review was conducted in parallel. Results: Activities of clinical guidelines or in healthcare processes should be coded using clinical nomenclature to support conformance checking. Conclusion: SNOMED CT should be used as a nomenclature and activities should be coded with SNOMED concepts of the type “procedure”.",
keywords = "Data Mining, Process Assessment, Health Care, Standard of Care, Data Mining/methods, Systematized Nomenclature of Medicine, Humans, Guideline Adherence/standards, Electronic Health Records/standards, Practice Guidelines as Topic",
author = "Klaus Arthofer",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors.; 19th Health Informatics Meets Digital Health Conference, dHealth 2025 ; Conference date: 06-05-2025 Through 07-05-2025",
year = "2025",
month = apr,
day = "24",
doi = "10.3233/SHTI250152",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "27--28",
editor = "Martin Baumgartner and Dieter Hayn and Bernhard Pfeifer and Gunter Schreier",
booktitle = "dHealth 2025 - Proceedings of the 19th Health Informatics Meets Digital Health Conference",
address = "Netherlands",
}