An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical records (POMR) compared with an established algorithm developed in episode orientated records (EOMR)
Autor: | Simon de Lusignan, Siaw-Teng Liaw, Daniel Dedman, Kamlesh Khunti, Khaled Sadek, Simon Jones |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: | |
Zdroj: | Journal of Innovation in Health Informatics, Vol 22, Iss 2, Pp 255-264 (2015) |
Druh dokumentu: | article |
ISSN: | 2058-4555 2058-4563 |
DOI: | 10.14236/jhi.v22i2.79 |
Popis: | 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. |
Databáze: | Directory of Open Access Journals |
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