Marchand M, Guibourdenche J, Saada J, Le Men H, Porquet D, Demelier J F
Service de Biochimie-Hormonologie, Hôpital R Debré, Paris, France.
Ann Clin Biochem. 1997 Jul;34 ( Pt 4):389-95. doi: 10.1177/000456329703400409.
Validation of biochemical reports must be fast and clinically accurate to be of assistance to clinicians. Considerable skill is required to analyse the consistency of different data in the report and to consider influences on the data. When performed throughout the day, such analysis is time-consuming and uncertain. We therefore decided to use a computer-assisted validation system, Valab-Biochem. Its decisions result from a decision tree based primarily on the intrinsic consistency of the data, validation ranges and patients' sex, age and hospital ward. Three hundred randomly chosen reports were simultaneously submitted to Valab-Biochem and to five biologists in order to analyse the computer's findings. The sensitivity of Valab-Biochem was 80% compared to biologists' consensus decision, which was taken as the gold standard. The specificity was 78%. This system provided autonomous assessment of the reports and could be used as an initial screen to assist biologists and focus attention on potentially inconsistent reports.
生化报告的验证必须快速且临床准确,才能对临床医生有所帮助。分析报告中不同数据的一致性并考虑数据的影响因素需要相当的技巧。一整天都进行这样的分析既耗时又不确定。因此,我们决定使用一个计算机辅助验证系统Valab-Biochem。它的决策基于一个决策树,主要依据数据的内在一致性、验证范围以及患者的性别、年龄和医院病房。为了分析计算机的结果,我们随机选取了300份报告,同时提交给Valab-Biochem和五位生物学家。与被视为金标准的生物学家的共识决策相比,Valab-Biochem的灵敏度为80%。特异性为78%。该系统能对报告进行自主评估,可作为初步筛选工具,帮助生物学家并将注意力集中在潜在不一致的报告上。