Department of Laboratory Medicine, University-Hospital, Padova, Italy.
Clin Biochem. 2013 Sep;46(13-14):1170-4. doi: 10.1016/j.clinbiochem.2012.11.028. Epub 2012 Dec 5.
The identification of reliable quality indicators (QIs) is a crucial step in enabling users to quantify the quality of laboratory services. The current lack of attention to extra-laboratory factors is in stark contrast with the body of evidence pointing to the multitude of errors that continue to occur in the pre- and post-analytical phases.
Different QIs and terminologies are currently used and, therefore, there is the need to harmonize proposed QIs.
A model of quality indicators (MQI) has been consensually developed by a group of clinical laboratories according to a project launched by a working group of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). The model includes 57 QIs related to key processes (35 pre-, 7 intra- and 15 post-analytical phases) and 3 to support processes.
The developed MQI and the data collected provide evidence of the feasibility of the project to harmonize currently available QIs, but further efforts should be done to involve more clinical laboratories and to collect a more consistent amount of data.
确定可靠的质量指标（QIs）是使用户能够量化实验室服务质量的关键步骤。目前，人们对实验室以外因素的重视程度与大量证据形成鲜明对比，这些证据表明，在分析前和分析后阶段仍会持续出现众多错误。
目前使用的 QIs 和术语各不相同，因此需要协调提出的 QIs。
根据国际临床化学和实验室医学联合会（IFCC）工作组发起的一个项目，一组临床实验室一致制定了质量指标模型（MQI）。该模型包括 57 个与关键过程（35 个分析前、7 个分析中和 15 个分析后阶段）相关的 QIs 和 3 个支持过程的 QIs。
所开发的 MQI 和收集的数据提供了证据，证明了协调当前可用 QIs 的项目具有可行性，但应进一步努力，让更多的临床实验室参与并收集更一致的数据。
