Towards improvement of the accuracy and completeness of medication registration with the use of an electronic medical record (EMR)

Abstract

Background: Approximately 80% of GPs use a GP information system (GIS) and an electronic medical record (EMR) in their daily practice. To reap the full benefits of an EMR for patient care, post-graduate education and research, the data input must be well structured and accurately coded.

Objectives: The quality and user-friendliness of the software positively influence the completeness and reliability of the data recorded in the GIS. To assess this in actual practice, this study examined whether or not an increase occurred in the accuracy and completeness of indication-related medication registration after the GIS's software package was upgraded.

Method: GPs recorded data for the Registration Network Groningen (RNG) concerning four medication groups: insulin, trimethoprim, the contraceptive pill and beta-blocking agents. The completeness and accuracy of the registered data were assessed both before and after the change to the new software package. The completeness is evaluated on the basis of the indications missing for the prescribed medications. To assess accuracy, a check was made to determine whether the indications corresponded to those deemed relevant for that particular medication according to National Pharmaceutical Guidelines.

Results: The percentage of missing indications decreased notably, especially in the chronically prescribed medication groups. For insulin, the percentage decreased from 40.5 to 3% and for the contraceptive pill from 34.5 to 1%. For trimethoprim, the percentage decreased from 10 to 1%, and for beta-blocking agents from 22 to 1.5%. Of the indications present, the percentage of relevant indications showed a slight increase, with the largest increase observed for the contraceptive pill where the percentage rose from 86 to 96%.

Conclusions: The completeness of recorded indications improved considerably after the change of software. This is due mostly to the efforts of the GPs, their practice assistants and the support of the RNG organization involved in the conversion procedure. Accuracy improved slightly, especially due to the software modifications which ensured that non-existent codes could not be entered. To summarize, with increased user-friendliness of the software, combined with the training of motivated GPs, the quality of recorded data improved.