Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Seitinger, A; Fehre, K; Adlassnig, KP; Rappelsberger, A; Wurm, E; Aberer, E; Binder, M.
An Arden-Syntax-based clinical decision support framework for medical guidelines--Lyme borreliosis as an example.
Stud Health Technol Inform. 2014; 198(18):125-132
PubMed
- Co-Autor*innen der Med Uni Graz
- Aberer Elisabeth
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- Abstract:
- Medicine is evolving at a very fast pace. The overwhelming quantity of new data compels the practician to be consistently informed about the most recent scientific advances. While medical guidelines have proven to be an acceptable tool for bringing new medical knowledge into clinical practice and also support medical personnel, reading them may be rather time-consuming. Clinical decision support systems have been developed to simplify this process. However, the implementation or adaptation of such systems for individual guidelines involves substantial effort. This paper introduces a clinical decision support platform that uses Arden Syntax to implement medical guidelines using client-server architecture. It provides a means of implementing different guidelines without the need for adapting the system's source code. To implement a prototype, three Lyme borreliosis guidelines were aggregated and a knowledge base created. The prototype employs transfer objects to represent any text-based medical guideline. As part of the implementation, we show how Fuzzy Arden Syntax can improve the overall usability of a clinical decision support system.
- Find related publications in this database (using NLM MeSH Indexing)
- Artificial Intelligence -
- Data Mining - standards
- Documentation - standards
- Guideline Adherence - standards
- Humans -
- Lyme Disease - classification
- Natural Language Processing -
- Practice Guidelines as Topic -
- Semantics -
- Terminology as Topic -
- Vocabulary, Controlled -