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Predicting turnaround time reductions of the diagnostic track in the histopathology laboratory using mathematical modelling.

Authors
  • Leeftink, A G1
  • Boucherie, R J2
  • Hans, E W2
  • Verdaasdonk, M A M3
  • Vliegen, I M H2
  • van Diest, P J3
  • 1 Centre for Healthcare Operations Improvement & Research (CHOIR), University of Twente, Enschede, The Netherlands UMC Utrecht Cancer Center, University Medical Center Utrecht, Utrecht, The Netherlands. , (Netherlands)
  • 2 Centre for Healthcare Operations Improvement & Research (CHOIR), University of Twente, Enschede, The Netherlands. , (Netherlands)
  • 3 Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands. , (Netherlands)
Type
Published Article
Journal
Journal of Clinical Pathology
Publisher
BMJ
Publication Date
Sep 01, 2016
Volume
69
Issue
9
Pages
793–800
Identifiers
DOI: 10.1136/jclinpath-2015-203349
PMID: 26797408
Source
Medline
Keywords
License
Unknown

Abstract

Mathematical modelling can help to optimally organise the workload in the histopathology laboratory by predicting the performance of possible interventions before actual implementation. The interventions that were predicted by the model to have the highest performance have been implemented in the histopathology laboratory of University Medical Center Utrecht. Further research should be executed to collect empirical evidence and evaluate the actual impact on TAT, quality of work and employee stress levels.

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. This record was last updated on 06/09/2018 and may not reflect the most current and accurate biomedical/scientific data available from NLM. The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/26797408
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