Brown P J, Harwood J, Brantigan P
Medical Informatics, St Thomas' Hospital, London, UK.
Stud Health Technol Inform. 2001;84(Pt 2):1116-9.
Increasing reliance is being placed on electronic medical records to support clinical care and achieve improved quality standards. In order for clinical information systems (CIS) to deliver, the data within needs to be complete, consistent and accurate. This data of course only forms part of the process in delivering quality health care during the clinician-patient encounter. This paper outlines a method of assessing the quality of the processes involved in healthcare provision and data quality within a CIS. It proposes a principle of Data Quality Probes (DQP) that can be used to assess the performance of the whole encounter system. The main feature of this is the generation of a query which clinical knowledge predicts should not retrieve any cases in a system performing flawlessly. This approach is applied practically within the paradigm of a UK family practice testing the DQP that only patients who have had a hysterectomy should be prescribed unopposed oestrogen hormone replacement therapy.
人们越来越依赖电子病历以支持临床护理并实现更高的质量标准。为了使临床信息系统（CIS）发挥作用，其中的数据需要完整、一致且准确。当然，这些数据只是在医患接触过程中提供高质量医疗服务流程的一部分。本文概述了一种评估医疗保健提供过程质量以及CIS中数据质量的方法。它提出了数据质量探针（DQP）原则，可用于评估整个接触系统的性能。其主要特点是生成一个查询，临床知识预测在完美运行的系统中不应检索到任何病例。这种方法在英国家庭医疗的范例中实际应用，测试了DQP，即只有接受过子宫切除术的患者才应开具无对抗雌激素激素替代疗法。
