Incorrect classification, diagnosis and coding of the type of diabetes may have implications for patient management and limit our ability to measure quality. The aim of the study was to measure the accuracy of diabetes diagnostic data and explore the scope for identifying errors
Background: Electronic diabetes registers promote structured care and enable identification of undia...
Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 million people in the UK and co...
Background: Research into diabetes mellitus (DM) often requires a reproducible method for identifyin...
Aims: To determine the effectiveness of self-audit tools designed to detect miscoding, misclassific...
To conduct a systematic review to identify types and implications of incorrect or incomplete coding ...
Aims: To develop a computer processable algorithm, capable of running automated searches of routine...
BACKGROUND: The prevalence of diabetes is increasing with growing levels of obesity and an aging pop...
BACKGROUND: The prevalence of diabetes is increasing with growing levels of obesity and an aging pop...
Code Accuracy is the decoding of a code that is carried out carefully and meticulously in order to p...
Abstract Background Electronic medical records contai...
BACKGROUND: Electronic medical records contain valuable clinical information not readily available e...
BACKGROUND: An algorithm that detects errors in diagnosis, classification or coding of diabetes in p...
Today, one in eleven adults is suffering from diabetes mellitus. Diabetes mellitus is a disease wher...
<strong>Background</strong> Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 mil...
Diabetes Mellitus (DM) is an important health problem that affects many people including teenagers w...
Background: Electronic diabetes registers promote structured care and enable identification of undia...
Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 million people in the UK and co...
Background: Research into diabetes mellitus (DM) often requires a reproducible method for identifyin...
Aims: To determine the effectiveness of self-audit tools designed to detect miscoding, misclassific...
To conduct a systematic review to identify types and implications of incorrect or incomplete coding ...
Aims: To develop a computer processable algorithm, capable of running automated searches of routine...
BACKGROUND: The prevalence of diabetes is increasing with growing levels of obesity and an aging pop...
BACKGROUND: The prevalence of diabetes is increasing with growing levels of obesity and an aging pop...
Code Accuracy is the decoding of a code that is carried out carefully and meticulously in order to p...
Abstract Background Electronic medical records contai...
BACKGROUND: Electronic medical records contain valuable clinical information not readily available e...
BACKGROUND: An algorithm that detects errors in diagnosis, classification or coding of diabetes in p...
Today, one in eleven adults is suffering from diabetes mellitus. Diabetes mellitus is a disease wher...
<strong>Background</strong> Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 mil...
Diabetes Mellitus (DM) is an important health problem that affects many people including teenagers w...
Background: Electronic diabetes registers promote structured care and enable identification of undia...
Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 million people in the UK and co...
Background: Research into diabetes mellitus (DM) often requires a reproducible method for identifyin...