Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12857/115414
Title: Automatic 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 study
Authors: Gini, Rosa
Schuemie, Martijn J
Mazzaglia, Giampiero
Lapi, Francesco
Francesconi, Paolo
Pasqua, Alessandro
Bianchini, Elisa 
Montalbano, Carmelo
Roberto, Giuseppe
Barletta, Valentina
Cricelli, Iacopo
Cricelli, Claudio
Dal Co, Giulia
Bellentani, Mariadonata
Sturkenboom, Miriam
Klazinga, Niek
Keywords: DIABETES & ENDOCRINOLOGY;PRIMARY CARE;Validation study;electronic medical records
Keywords Plus: SURVEILLANCE;PREVALENCE;DATABASE;NATIONWIDE;DIAGNOSIS;VALIDITY;CPCSSN;DRUGS;RISK
Mesh headings: Diabetes Mellitus, Type 2;Electronic Health Records;Heart Failure;Hypertension;Myocardial Ischemia
Secondary Mesh headings: Algorithms;Humans;Italy;Predictive Value of Tests;Severity of Illness Index
Issue Date: 2016
Publisher: BMJ PUBLISHING GROUP
Journal: BMJ open 
Abstract: 
The 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.
URI: http://hdl.handle.net/20.500.12857/115414
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2016-012413
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