质量保证
质量(理念)
审计
质量管理体系
过程(计算)
可靠性工程
计算机科学
风险分析(工程)
分析结果的质量
质量审核
仪表(计算机编程)
质量保证/质量控制
控制(管理)
系统工程
工程类
制造工程
运营管理
质量管理
质量方针
业务
软件
会计
哲学
人工智能
软件系统
外部质量评估
操作系统
软件建设
认识论
程序设计语言
管理制度
作者
Donald M. Powers,Neil Greenberg
标识
DOI:10.1080/00365519950185319
摘要
Manufacturers of in vitro diagnostic (IVD) medical devices have become integral partners with their customers in determining the quality of laboratory results. Design controls imposed by ISO 9001 quality system standards and various regulations require manufacturers to implement a formal design process, which begins and ends with customer requirements. For IVD systems, this means that manufacturers must establish analytical quality specifications as part of their design input. This provides greater assurance that commercial products will satisfy customer requirements. In the case of quantitative IVD measurement systems, analytical quality specifications include total allowable uncertainty (bias, imprecision, non-specificity). The primary source of customer requirements is the laboratory-customer, who should have established analytical quality specifications based on the needs of its physician-clients. The total allowable uncertainty budget is allocated in the design process to the individual components of the system, such as reagents, instrumentation, calibrators and accessories, and to other factors such as operator, specimen and environmental interactions. Their performance must collectively meet the total allowable uncertainty specification when they are finally integrated into a measurement system. The design control model requires objective evidence that design specifications have been met (verification) and, finally, that the system will satisfy the needs of its intended users (validation). Compliance with the quality system standards is monitored through independent audits, government inspections and post-market surveillance.
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