Workload measurement for molecular genetics laboratory: A survey study

E. Tagliafico, I. Bernardis, M. Grasso, M. R. D'Apice, C. Lapucci, A. Botta, D. F. Giachino, M. Marinelli, P. Primignani, S. Russo, I. Sani, M. Seia, S. Fini, P. Rimessi, E. Tenedini, A. Ravani, M. Genuardi, A. Ferlini, SIGU Molecular Genetics Working Group of the Italian Society of Human Genetics

Research output: Contribution to journalArticle

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 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.
Original languageEnglish
Pages (from-to)e0206855
JournalPLoS One
Volume13
Issue number11
DOIs
Publication statusPublished - Nov 27 2018

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Workload
molecular genetics
Molecular Biology
management information systems
health policy
Clinical Laboratory Information Systems
Testing
Information Management
Health care
Molecular Pathology
Information management
health services
Medical Genetics
Genetic Testing
Health Policy
Health Care Costs
testing
Surveys and Questionnaires
Genetics
Health

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Tagliafico, E., Bernardis, I., Grasso, M., D'Apice, M. R., Lapucci, C., Botta, A., ... Molecular Genetics Working Group of the Italian Society of Human Genetics, SIGU. (2018). Workload measurement for molecular genetics laboratory: A survey study. PLoS One, 13(11), e0206855. https://doi.org/10.1371/journal.pone.0206855 [doi]

Workload measurement for molecular genetics laboratory: A survey study. / Tagliafico, E.; Bernardis, I.; Grasso, M.; D'Apice, M. R.; Lapucci, C.; Botta, A.; Giachino, D. F.; Marinelli, M.; Primignani, P.; Russo, S.; Sani, I.; Seia, M.; Fini, S.; Rimessi, P.; Tenedini, E.; Ravani, A.; Genuardi, M.; Ferlini, A.; Molecular Genetics Working Group of the Italian Society of Human Genetics, SIGU.

In: PLoS One, Vol. 13, No. 11, 27.11.2018, p. e0206855.

Research output: Contribution to journalArticle

Tagliafico, E, Bernardis, I, Grasso, M, D'Apice, MR, Lapucci, C, Botta, A, Giachino, DF, Marinelli, M, Primignani, P, Russo, S, Sani, I, Seia, M, Fini, S, Rimessi, P, Tenedini, E, Ravani, A, Genuardi, M, Ferlini, A & Molecular Genetics Working Group of the Italian Society of Human Genetics, SIGU 2018, 'Workload measurement for molecular genetics laboratory: A survey study', PLoS One, vol. 13, no. 11, pp. e0206855. https://doi.org/10.1371/journal.pone.0206855 [doi]
Tagliafico E, Bernardis I, Grasso M, D'Apice MR, Lapucci C, Botta A et al. Workload measurement for molecular genetics laboratory: A survey study. PLoS One. 2018 Nov 27;13(11):e0206855. https://doi.org/10.1371/journal.pone.0206855 [doi]
Tagliafico, E. ; Bernardis, I. ; Grasso, M. ; D'Apice, M. R. ; Lapucci, C. ; Botta, A. ; Giachino, D. F. ; Marinelli, M. ; Primignani, P. ; Russo, S. ; Sani, I. ; Seia, M. ; Fini, S. ; Rimessi, P. ; Tenedini, E. ; Ravani, A. ; Genuardi, M. ; Ferlini, A. ; Molecular Genetics Working Group of the Italian Society of Human Genetics, SIGU. / Workload measurement for molecular genetics laboratory: A survey study. In: PLoS One. 2018 ; Vol. 13, No. 11. pp. e0206855.
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