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Data quality probes―exploiting and improving the quality of electronic patient record data and patient care

机译：数据质量探针-开发和改善电子病历数据和患者护理的质量

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摘要

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 excellence the data within it needs to be complete, consistent and accurate. This capture of data is critical but forms only part of the procedure in delivering quality health care during the clinician-patient encounter. A number of processes are involved in this encounter, each of which has to be performed flawlessly to deliver a perfect outcome. This paper outlines a method of assessing the quality of these processes involved in healthcare provision and data quality within a CIS. It proposes the principle of Data Quality Probes (DQP) 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. Any cases retrieved (which fail the DQP) indicate an error in either data quality or clinical judgment. This approach is applied practically within the paradigm of a UK family practice testing the hypothesis that a series DQPs can provide a valuable method for monitoring both the data accuracy of a CIS and the provision of quality patient care.
机译：人们越来越依赖电子病历来支持临床护理并达到更高的质量标准。为了使临床信息系统（CIS）提供卓越的性能，其中的数据必须完整，一致和准确。数据的获取至关重要，但仅构成在临床医生与患者相遇期间提供高质量医疗保健过程的一部分。此过程涉及许多过程，必须完美执行每个过程才能提供完美的结果。本文概述了一种评估CIS中医疗保健提供过程和数据质量的过程质量的方法。它提出了数据质量探针（DQP）的原理来评估整个遭遇系统的性能。其主要特征是生成查询，临床知识预测该查询不应检索完美执行的系统中的任何案例。检索到的任何案例（未通过DQP）都表明数据质量或临床判断存在错误。该方法实际上在英国家庭实践的范式中应用，该假设检验了一系列DQP可以提供一种有价值的方法来监控CIS数据准确性和提供优质患者护理的假设。

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