Abstract

BackgroundAn 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...

Highlights

  • Diabetes is a global epidemic with an international ­consensus that there is an increasing prevalence.[1,2] In the UK, diabetes is increasingly being recognised as one of the biggest threats to health

  • Increasing the degree of problem orientation of the medical record system can improve the accuracy of recording of diagnoses and, the accuracy of using routinely collected data from computerised medial record (CMR) to determine the prevalence of diabetes mellitus; data processing strategies should reflect the degree of problem orientation

  • The degree of problem orientation varies. We describe those systems that are strictly problem orientated as problem orientated medical records (POMR) and those that don’t strictly impose linking data to an existing problem we describe as episode orientated medical records (EOMRs)

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Summary

Introduction

Diabetes is a global epidemic with an international ­consensus that there is an increasing prevalence.[1,2] In the UK, diabetes is increasingly being recognised as one of the biggest threats to health. Computerised medical records (CMR) occupy a central role within health systems, primary care; increasingly monitoring of chronic disease prevalence is based on routinely collected data and for many conditions, this is based on routinely collected data derived from CMR systems.[4]. An algorithm that detects errors in diagnosis, classification or coding of diabetes in primary care computerised medial record (CMR) systems is currently available. This was developed on CMR systems that are episode orientated medical records (EOMR); and do not force the user to always code a problem or link data to an existing one.

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