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The potential of electronic medical record systems to support quality improvement work and research in Norwegian general practice

机译:电子病历系统支持挪威一般实践的质量改进工作和研究的潜力

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摘要

Background Electronic medical record (EMR) systems are used for many purposes including patient care, administration, research, quality improvement and reimbursement. This study aimed to test a data extraction tool (QTools) and to provide information to support the interpretation of EMR data. Methods Comparison of aggregated practice data for selected EMR fields and interviews with practice staff. Practices received summaries of their data and aggregated data for other practices. Summaries were discussed in interviews. Results Fourteen general practices in the Oslo area using the Winmed EMR participated. QTools ran successfully at all 14 practices. Nine practices agreed to interviews. Apart from age and sex, general patient information was poorly recorded. Face-to-face consultations account for 59% of contacts but differences in coding led to variations between practices. Psychiatric problems accounted for 13% of diagnoses, other diagnosis groups rarely accounted for more than 5%. Over 90% of diabetics and 75% of patients with heart disease were identified by diagnosis code alone. Conclusion Some variation seen in EMR data is due to differences in the way staff use their EMR. These data can support quality improvement work but this requires an awareness of how the EMR is actually used by practice staff.
机译:背景技术电子病历(EMR)系统用于许多目的,包括患者护理,管理,研究,质量改进和报销。这项研究旨在测试数据提取工具(QTools),并提供信息以支持EMR数据的解释。方法比较选定的EMR领域的汇总实践数据以及与实践人员的访谈。练习收到其数据摘要以及其他练习的汇总数据。采访中讨论了摘要。结果参加了使用Winmed EMR在奥斯陆地区进行的14种常规操作。 QTools在所有14种实践中均成功运行。九种做法同意接受采访。除年龄和性别外,一般患者的信息记录较差。面对面的咨询占联络的59%,但是编码上的差异导致实践之间的差异。精神疾病占诊断的13%,其他诊断组很少占5%以上。仅诊断码就能识别出90%以上的糖尿病患者和75%的心脏病患者。结论EMR数据中存在一些差异是由于员工使用EMR的方式不同。这些数据可以支持质量改进工作,但这需要了解执业人员实际使用EMR的方式。

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