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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 do not 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.To compare the rates of detection of diagnostic accuracy using an algorithm developed in EOMR with a new POMR specific algorithm.We used data from The Health Improvement Network (THIN) database (N = 2,466,364) to identify a population of 100,513 (4.08

作者:Simon, de Lusignan;Siaw-Teng, Liaw;Daniel, Dedman;Kamlesh, Khunti;Khaled, Sadek;Simon, Jones

来源:Journal of innovation in health informatics 2015 年 22卷 2期

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作者:
Simon, de Lusignan;Siaw-Teng, Liaw;Daniel, Dedman;Kamlesh, Khunti;Khaled, Sadek;Simon, Jones
来源:
Journal of innovation in health informatics 2015 年 22卷 2期
标签:
computerized diabetes mellitus epidemiology medical record systems medical records problem-oriented records as topic
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 do not 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.To compare the rates of detection of diagnostic accuracy using an algorithm developed in EOMR with a new POMR specific algorithm.We used data from The Health Improvement Network (THIN) database (N = 2,466,364) to identify a population of 100,513 (4.08