Literature DB >> 3968219

A study of workload units in five microbiology laboratories.

R Y Cartwright, J R Davies, C Dulake, R J Hart, C A Morris, P J Wilkinson.   

Abstract

A study of a modified Canadian unit system of measuring laboratory workload was undertaken in five joint Public Health Laboratory Service and hospital microbiology laboratories. Ten percent of the specimens received over six months were sampled, the number of units expended on each was recorded, and the results were analysed on a central computer. The process of gathering information in the absence of laboratory computers was time consuming and, despite careful planning, differences were found in the recording practices of the laboratories. The analysis of results did not lead to major changes in data gathering techniques because the same information about laboratory workload could be obtained by collecting numbers of clearly defined specimens. Analysis of workload units could be useful for particular purposes, such as comparing differences between laboratories using different techniques for the same investigation or assessing the possible benefits of automation. It must be appreciated, however, that workload units are measures of quantity not of laboratory performance.

Mesh:

Year:  1985        PMID: 3968219      PMCID: PMC499104          DOI: 10.1136/jcp.38.2.208

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  1 in total

1.  Trends in microbiology work-loads in the National Health Service: England and Wales (1968-79).

Authors:  C A Morris
Journal:  Health Trends       Date:  1981-02
  1 in total
  1 in total

1.  Workload measurement for molecular genetics laboratory: A survey study.

Authors:  Enrico Tagliafico; Isabella Bernardis; Marina Grasso; Maria Rosaria D'Apice; Cristina Lapucci; Annalisa Botta; Daniela Francesca Giachino; Maria Marinelli; Paola Primignani; Silvia Russo; Ilaria Sani; Manuela Seia; Sergio Fini; Paola Rimessi; Elena Tenedini; Anna Ravani; Maurizio Genuardi; Alessandra Ferlini
Journal:  PLoS One       Date:  2018-11-27       Impact factor: 3.240

  1 in total

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