An Objective Approach to Deriving the Clinical Performance of Autoverification Limits.

ABSTRACT: This study describes an objective approach to deriving the clinical performance of autoverification rules to inform laboratory practice when implementing them. Anonymized historical laboratory data for 12 biochemistry measurands were collected and Box-Cox-transformed to approximate a Gaussian distribution. The historical laboratory data were assumed to be error-free. Using the probability theory, the clinical specificity of a set of autoverification limits can be derived by calculating the percentile values of the overall distribution of a measurand. The 5th and 95th percentile values of the laboratory data were calculated to achieve a 90% clinical specificity. Next, a predefined tolerable total error adopted from the Royal College of Pathologists of Australasia Quality Assurance Program w

SUBMITTER: Loh TP 

PROVIDER: S-EPMC9057817 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature