Observational studyBMC medical informatics and decision making2017
Applying openEHR's Guideline Definition Language to the SITS international stroke treatment registry: a European retrospective observational study.
Observational study in BMC medical informatics and decision making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Business Process Model and Notation and openEHR Task Planning for Clinical Pathway Standards in Infections: Critical Analysis.Journal of medical Internet research · 2022Article
- What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper.International journal of environmental research and public health · 2020Article
- Standardised data reporting from pre-hospital advanced airway management - a nominal group technique update of the Utstein-style airway template.Scandinavian journal of trauma, resuscitation and emergency medicine · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInteroperability standards intend to standardise health information, clinical practice guidelines intend to standardise care procedures, and patient data registries are vital for monitoring quality of care and for clinical research. This study combines all three: it uses interoperability specifications to model guideline knowledge and applies the result to registry data.
methodsWe applied the openEHR Guideline Definition Language (GDL) to data from 18,400 European patients in the Safe Implementation of Treatments in Stroke (SITS) registry to retrospectively check their compliance with European recommendations for acute stroke treatment.
resultsComparing compliance rates obtained with GDL to those obtained by conventional statistical data analysis yielded a complete match, suggesting that GDL technology is reliable for guideline compliance checking.
conclusionsThe successful application of a standard guideline formalism to a large patient registry dataset is an important step toward widespread implementation of computer-interpretable guidelines in clinical practice and registry-based research. Application of the methodology gave important results on the evolution of stroke care in Europe, important both for quality of care monitoring and clinical research.
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