Add to ORKG<p><strong>An algorithm that detects errors in diagnosis, classification or coding of diabetes in primary care computerised medial record (CMR) systems is currently available. However, this was developed on CMR systems that are “Episode orientated” medical records (EOMR); and don’t force the user to always code a problem or link data to an existing one. More strictly problem orientated medical record (POMR) systems mandate recording a problem and linking consultation data to them. </strong></p><p> </p
The advent of universal health care coverage in the United States and electronic health records coul...
Data mining technology offers a user-oriented technique to hidden and novel patterns in the data. Be...
Abstract Background Electronic medical records contai...
BACKGROUND: An algorithm that detects errors in diagnosis, classification or coding of diabetes in p...
An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical r...
<strong>Background</strong> Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 mil...
Background: Research into diabetes mellitus (DM) often requires a reproducible method for identifyin...
Aims: To develop a computer processable algorithm, capable of running automated searches of routine...
As part of a large-scale project to use DNA biorepositories linked with electronic medical record (E...
The data revolution in medical records has increased the automation of medical devices in determinin...
The present computer system is the first of its kind based on problem- oriented medical record (POMR...
Background The prevalence of diabetes is increasing with growing levels of obesity and an aging popu...
BACKGROUND: The prevalence of diabetes is increasing with growing levels of obesity and an aging pop...
Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 million people in the UK and co...
Background: Effective population management of patients with diabetes requires timely recognition. C...
The advent of universal health care coverage in the United States and electronic health records coul...
Data mining technology offers a user-oriented technique to hidden and novel patterns in the data. Be...
Abstract Background Electronic medical records contai...
BACKGROUND: An algorithm that detects errors in diagnosis, classification or coding of diabetes in p...
An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical r...
<strong>Background</strong> Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 mil...
Background: Research into diabetes mellitus (DM) often requires a reproducible method for identifyin...
Aims: To develop a computer processable algorithm, capable of running automated searches of routine...
As part of a large-scale project to use DNA biorepositories linked with electronic medical record (E...
The data revolution in medical records has increased the automation of medical devices in determinin...
The present computer system is the first of its kind based on problem- oriented medical record (POMR...
Background The prevalence of diabetes is increasing with growing levels of obesity and an aging popu...
BACKGROUND: The prevalence of diabetes is increasing with growing levels of obesity and an aging pop...
Diabetes mellitus (DM) is a serious, chronic condition affecting 2.3 million people in the UK and co...
Background: Effective population management of patients with diabetes requires timely recognition. C...
The advent of universal health care coverage in the United States and electronic health records coul...
Data mining technology offers a user-oriented technique to hidden and novel patterns in the data. Be...
Abstract Background Electronic medical records contai...