Standards-Based Interoperability for Clinical Decision Support Systems

This paper presents a narrative analysis of standards-based interoperability approaches in clinical decision support systems, focusing on the ArdenSuite platform. We examine how both semantic and technical interoperability challenges are addressed through its modular architecture and support for multiple healthcare standards including HL7's Arden Syntax, FHIR, openEHR, and CDS Hooks. The platform's implementation at University Hospital Vienna demonstrates practical applications in automated guideline processing and pandemic alert services. Our findings suggest that standards-based interoperability solutions can effectively bridge the gap between disparate healthcare systems while enabling sophisticated clinical decision support capabilities. The approach presented offers insights for addressing the growing challenge of healthcare system fragmentation in an increasingly digitalized medical landscape.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250296
Citations
1
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
4.74
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article

Standards-Based Interoperability for Clinical Decision Support Systems

Klaus-Peter Adlassnig, Andrea Rappelsberger, M. Grob, Leonhard Hauptfeld
1 citations
Studies in health technology and informatics
Semantic Web and Ontologies
4.74
article

Standards-Based Interoperability for Clinical Decision Support Systems

Klaus-Peter Adlassnig, Andrea Rappelsberger, M. Grob, Leonhard Hauptfeld
article en
1 citations

Abstract

This paper presents a narrative analysis of standards-based interoperability approaches in clinical decision support systems, focusing on the ArdenSuite platform. We examine how both semantic and technical interoperability challenges are addressed through its modular architecture and support for multiple healthcare standards including HL7's Arden Syntax, FHIR, openEHR, and CDS Hooks. The platform's implementation at University Hospital Vienna demonstrates practical applications in automated guideline processing and pandemic alert services. Our findings suggest that standards-based interoperability solutions can effectively bridge the gap between disparate healthcare systems while enabling sophisticated clinical decision support capabilities. The approach presented offers insights for addressing the growing challenge of healthcare system fragmentation in an increasingly digitalized medical landscape.

Studies in health technology and informaticsVol. 327
Austrian Research Institute for Artificial Intelligence (AT), Medical University of Vienna (AT)
Openalex Percentile: Top 7%
Semantic Web and Ontologies
4.74
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