You are here

Article Text

Article menu
Download PDFPDF
Successful demand management in histopathology: a model using sputum cytology
  1. J L Burton1,
  2. J A Lee1,
  3. J R Goepel2
  1. 1Section of Oncology and Pathology, Division of Genomic Medicine, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK j.lee@sheffield.ac.uk
  2. 2Department of Histopathology, Royal Hallamshire Hospital, Glossop Road, Sheffield S10 2JF, UK

    Statistics from Altmetric.com

      Request Permissions

      If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

      The elimination of outdated, redundant, and unnecessary work is important because it can significantly improve standards in work, which is necessary.1 Although important steps in demand management have been taken in other aspects of laboratory medicine,2 there has been little coordinated effort to reduce redundancy in surgical pathology.3 We have developed a model for demand management, which has been highly successful in controlling requests for sputum cytology and is potentially widely applicable. The key features, described in more detail below, are accurately targeting redundant work, gathering local evidence to support the claim of redundancy, implementing change sensitively with the help of key user groups, and instituting ongoing feedback.

      We tested our model in the context of sputum cytology. In recent years, cytological examination of sputum has …

      View Full Text