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|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
Dal Co, Giulia
|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.
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