Cargando…

Workload measurement for molecular genetics laboratory: A survey study

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Tagliafico, Enrico, Bernardis, Isabella, Grasso, Marina, D’Apice, Maria Rosaria, Lapucci, Cristina, Botta, Annalisa, Giachino, Daniela Francesca, Marinelli, Maria, Primignani, Paola, Russo, Silvia, Sani, Ilaria, Seia, Manuela, Fini, Sergio, Rimessi, Paola, Tenedini, Elena, Ravani, Anna, Genuardi, Maurizio, Ferlini, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258511/
https://www.ncbi.nlm.nih.gov/pubmed/30481188
http://dx.doi.org/10.1371/journal.pone.0206855
Descripción
Sumario: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 also the interpretation time, the latter represented the step that requiring longer times. We report the first survey describing the hands-on times requested for different molecular diagnostics procedures, including NGS. The analysis of this survey suggests the need of some improvements to optimize some analytical processes, such as the implementation of laboratory information management systems to minimize manual procedures in pre-analytical steps which may affect accuracy that represents the major challenge to be faced in the future setting of molecular genetics laboratory.