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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12857/115414
DC FieldValueLanguage
dc.contributor.authorGini, Rosaen
dc.contributor.authorSchuemie, Martijn Jen
dc.contributor.authorMazzaglia, Giampieroen
dc.contributor.authorLapi, Francescoen
dc.contributor.authorFrancesconi, Paoloen
dc.contributor.authorPasqua, Alessandroen
dc.contributor.authorBianchini, Elisaen
dc.contributor.authorMontalbano, Carmeloen
dc.contributor.authorRoberto, Giuseppeen
dc.contributor.authorBarletta, Valentinaen
dc.contributor.authorCricelli, Iacopoen
dc.contributor.authorCricelli, Claudioen
dc.contributor.authorDal Co, Giuliaen
dc.contributor.authorBellentani, Mariadonataen
dc.contributor.authorSturkenboom, Miriamen
dc.contributor.authorKlazinga, Nieken
dc.date.accessioned2020-03-15T17:30:28Z-
dc.date.available2020-03-15T17:30:28Z-
dc.date.issued2016en
dc.identifier.issn2044-6055en
dc.identifier.urihttp://hdl.handle.net/20.500.12857/115414-
dc.description.abstractThe Italian project MATRICE aimed to assess how well cases of type 2 diabetes (T2DM), hypertension, ischaemic heart disease (IHD) and heart failure (HF) and their levels of severity can be automatically extracted from the Health Search/CSD Longitudinal Patient Database (HSD). From the medical records of the general practitioners (GP) who volunteered to participate, cases were extracted by algorithms based on diagnosis codes, keywords, drug prescriptions and results of diagnostic tests. A random sample of identified cases was validated by interviewing their GPs.en
dc.language.isoenen
dc.publisherBMJ PUBLISHING GROUPen
dc.relation.ispartofBMJ openen
dc.subjectDIABETES & ENDOCRINOLOGYen
dc.subjectPRIMARY CAREen
dc.subjectValidation studyen
dc.subjectelectronic medical recordsen
dc.subject.meshDiabetes Mellitus, Type 2en
dc.subject.meshElectronic Health Recordsen
dc.subject.meshHeart Failureen
dc.subject.meshHypertensionen
dc.subject.meshMyocardial Ischemiaen
dc.titleAutomatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' electronic medical records: a validation studyen
dc.typeJournal Articleen
dc.typeValidation Studyen
dc.identifier.doi10.1136/bmjopen-2016-012413en
dc.identifier.pmid27940627en
dc.identifier.scopus2-s2.0-85006049178en
dc.identifier.isiWOS:000391303600050en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85006049178en
dc.contributor.orcid0000-0002-6250-877Xen
dc.relation.volume6en
dc.relation.issue12en
dc.relation.firstpagee012413en
dc.identifier.eissn2044-6055en
dc.source.typearen
dc.publisher.placeBRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLANDen
dc.subject.keywordsplusSURVEILLANCEen
dc.subject.keywordsplusPREVALENCEen
dc.subject.keywordsplusDATABASEen
dc.subject.keywordsplusNATIONWIDEen
dc.subject.keywordsplusDIAGNOSISen
dc.subject.keywordsplusVALIDITYen
dc.subject.keywordsplusCPCSSNen
dc.subject.keywordsplusDRUGSen
dc.subject.keywordsplusRISKen
dc.subject.meshsecondaryAlgorithmsen
dc.subject.meshsecondaryHumansen
dc.subject.meshsecondaryItalyen
dc.subject.meshsecondaryPredictive Value of Testsen
dc.subject.meshsecondarySeverity of Illness Indexen
dc.subject.meshtermsDiabetes Mellitus, Type 2/diagnosisen
dc.subject.meshtermsElectronic Health Records/standardsen
dc.subject.meshtermsHeart Failure/diagnosisen
dc.subject.meshtermsHypertension/diagnosisen
dc.subject.meshtermsMyocardial Ischemia/diagnosisen
dc.contributor.affiliationAgenzia regionale di sanità della Toscana, Osservatorio di epidemiologia, Florence, Italy.en
dc.contributor.affiliationDepartment of Epidemiology Janssen Research & Development, Titusville, New Jersey, USA.en
dc.contributor.affiliationHealth Search, Italian College of General Practitioners and Primary Care, Florence, Italy.en
dc.contributor.affiliationHealth Search, Italian College of General Practitioners and Primary Care, Florence, Italy.en
dc.contributor.affiliationAgenzia regionale di sanità della Toscana, Osservatorio di epidemiologia, Florence, Italy.en
dc.contributor.affiliationHealth Search, Italian College of General Practitioners and Primary Care, Florence, Italy.en
dc.contributor.affiliationHealth Search, Italian College of General Practitioners and Primary Care, Florence, Italy.en
dc.contributor.affiliationGenomedics, Florence, Italy.en
dc.contributor.affiliationAgenzia regionale di sanità della Toscana, Osservatorio di epidemiologia, Florence, Italy.en
dc.contributor.affiliationAgenzia regionale di sanità della Toscana, Osservatorio di epidemiologia, Florence, Italy.en
dc.contributor.affiliationGenomedics, Florence, Italy.en
dc.contributor.affiliationItalian College of General Practitioners and Primary Care, Florence, Italy.en
dc.contributor.affiliationAgenzia Nazionale per il Servizi Sanitari Regionali, Rome, Italy.en
dc.contributor.affiliationAgenzia Nazionale per il Servizi Sanitari Regionali, Rome, Italy.en
dc.contributor.affiliationDepartment of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.en
dc.contributor.affiliationAcademic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.en
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.openairetypeValidation Study-
item.grantfulltextnone-
crisitem.author.deptUNIVERSITÀ DI PADOVA-
crisitem.author.orcid0000-0001-7421-1108-
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