Groth T
Scand J Clin Lab Invest Suppl. 1980;155:47-63. doi: 10.3109/00365518009091991.
Although clinical reasoning and decision-making may be very complex, there are methods to perform both piecemeal and more complete optimizations with regard to the use of clinical chemical data and for assessing quality specification. Some methods and approaches are described and illustrated with examples: (i) rules for propagation of errors in simple algebraic/statistical transformations; (ii) systems and sensitivity analysis using biochemical/pathophysiological simulation models; (iii) systems and sensitivity analysis of simulated clinical classification and decision processes. It is concluded that the possible gain of useful information by improving analytical and pre-analytical quality should be related to the often more important aspects of test selection test and test combination, period and frequency of observation, and the use of correct conceptual models for transformation of data.
尽管临床推理和决策可能非常复杂，但对于临床化学数据的使用和质量规范评估，有一些方法可以进行逐步的和更全面的优化。文中描述了一些方法和途径，并举例说明：(i) 简单代数/统计变换中误差传播的规则；(ii) 使用生化/病理生理模拟模型的系统和敏感性分析；(iii) 模拟临床分类和决策过程的系统和敏感性分析。得出的结论是，通过提高分析和分析前质量可能获得的有用信息，应与检验选择、检验组合、观察周期和频率以及数据转换所使用的正确概念模型等通常更重要的方面相关。
