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Published in: BMC Medical Informatics and Decision Making 1/2017

Open Access 01-12-2017 | Technical advance

Applying openEHR’s Guideline Definition Language to the SITS international stroke treatment registry: a European retrospective observational study

Authors: Nadim Anani, Michael V. Mazya, Rong Chen, Tiago Prazeres Moreira, Olivier Bill, Niaz Ahmed, Nils Wahlgren, Sabine Koch

Published in: BMC Medical Informatics and Decision Making | Issue 1/2017

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Abstract

Background

Interoperability 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.

Methods

We 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.

Results

Comparing 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.

Conclusions

The 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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Metadata
Title
Applying openEHR’s Guideline Definition Language to the SITS international stroke treatment registry: a European retrospective observational study
Authors
Nadim Anani
Michael V. Mazya
Rong Chen
Tiago Prazeres Moreira
Olivier Bill
Niaz Ahmed
Nils Wahlgren
Sabine Koch
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2017
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-016-0401-5

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