Does patient-based data monitoring allow us to reconsider the relationship between IQC and EQA?

质量保证 一致性(知识库) 计算机科学 医学 医学物理学 协议(科学) 外部质量评估 质量(理念) 可靠性工程 数据质量 临床实习 数据挖掘 控制(管理) 参考值 风险分析(工程)
作者
Tony Badrick,John Sioufi,Derek Holzhauser
出处
期刊:Clinical Chemistry and Laboratory Medicine [De Gruyter]
卷期号:64 (2): 290-294
标识
DOI:10.1515/cclm-2025-1133
摘要

Currently, there is no accepted standard practice for determining the frequency of EQA challenge. The challenge frequency has evolved based on history and local requirements. However, EQA frequency should be based on identifying patient risks caused by poorly performing laboratories, methods, or processes in any phase of the total testing cycle. The role of IQC is to ensure result consistency from day to day and to halt reporting of results if there is an analytical failure. Historically, both activities have been based on synthetic control material. With the development of patient-based approaches to IQC and EQA, it is possible to continuously monitor analytical systems using the same patient parameter, usually the mean or median. These techniques can provide laboratories with additional information to reduce patient risk. There are limitations of Patient-Based Quality Assurance (PBQA), fundamentally the lack of middleware and connection of the analyzers to the EQA provider. It cannot be used to monitor the success of harmonization/standardization of assays to a reference measurement procedure. But the use of patient-based approaches offers an opportunity to reconsider how EQA can be undertaken and the relationship between IQC and EQA. If PBRTQC and PBQA could be implemented to provide daily peer group comparisons, then method-specific bias could be identified quickly by a laboratory. If this could be supplemented with a commutable, reference value assigned EQA program, then monitoring harmonization/standardization of assays to a reference measurement procedure could be achieved.
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