Unknown

Dataset Information

Workload measurement for molecular genetics laboratory: A survey study.


ABSTRACT: Genetic testing availability in the health care system is rapidly increasing, along with the diffusion of next-generation sequencing (NGS) into diagnostics. These issues make imperative the knowledge-drive optimization of testing in the clinical setting. Time estimations of wet laboratory procedure in Italian molecular laboratories offering genetic diagnosis were evaluated to provide data suitable to adjust efficiency and optimize health policies and costs. A survey was undertaken by the Italian Society of Human Genetics (SIGU). Forty-two laboratories participated. For most molecular techniques, the most time-consuming steps are those requiring an intensive manual intervention or in which the human bias can affect the global process time-performances. For NGS, for which the study surveyed

SUBMITTER: Tagliafico E 

PROVIDER: S-EPMC6258511 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature