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

{"article_title":"Applying openEHR's Guideline Definition Language to the SITS international stroke treatment registry: a European retrospective observational study.","author":"Anani N, Mazya MV, Chen R, Prazeres Moreira T, Bill O, Ahmed N, Wahlgren N, Koch S","journal_title":"BMC medical informatics and decision making","issn":"1472-6947","isbn":"","publication_date":"2017 Jan 10","volume":"17","issue":"1","first_page":"7","page_count":"","accession_number":"28073358","doi":"10.1186\/s12911-016-0401-5","publisher":"BioMed Central","doctype":"Journal Article","subjects":"Electronic Health Records statistics & numerical data; Guideline Adherence statistics & numerical data; Practice Guidelines as Topic; Registries statistics & numerical data; Stroke therapy; Europe; Humans; Retrospective Studies","interest_area":["Neurology"," Emergency Medicine"],"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.","url":"https:\/\/search.ebscohost.com\/login.aspx?direct=true&db=mdl&AN=28073358&authtype=shib&custid=ns346513","isPdfLink":true,"isSAML":false,"additionalInfo":{"Authored_By":"Anani N, Mazya MV, Chen R, Prazeres Moreira T, Bill O, Ahmed N, Wahlgren N, Koch S","Journal_Info":"Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE","Publication_Type":"Journal Article; Observational Study; Research Support, Non-U.S. Gov't","Published_Date":"2017-01-10","Source":"BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2017 Jan 10; Vol. 17 (1), pp. 7. Date of Electronic Publication: 2017 Jan 10.","Languages":"English","Electronic_ISSN":"1472-6947","MeSH_Terms":"Practice Guidelines as Topic*, Electronic Health Records\/*statistics & numerical data , Guideline Adherence\/*statistics & numerical data , Registries\/*statistics & numerical data , Stroke\/*therapy, Europe ; Humans ; Retrospective Studies","Subjects":"Europe, Humans, Retrospective Studies, Electronic Health Records statistics & numerical data, Guideline Adherence statistics & numerical data, Practice Guidelines as Topic, Registries statistics & numerical data, Stroke therapy","Title_Abbreviations":"BMC medical informatics and decision making","Volume":"17"},"header":{"DbId":"mdl","DbLabel":"MEDLINE Ultimate","An":"28073358","RelevancyScore":"796","PubType":"Academic Journal","PubTypeId":"academicJournal","PreciseRelevancyScore":"796.421875"},"plink":"https:\/\/search.ebscohost.com\/login.aspx?direct=true&site=eds-live&db=mdl&AN=28073358&authtype=shib&custid=ns346513&group=main&profile=eds","upload_link":"https:\/\/search.ebscohost.com\/login.aspx?direct=true&site=eds-live&db=mdl&AN=28073358&authtype=shib&custid=ns346513&group=main&profile=eds"}