Histopathology laboratory operations analysis and improvement

A.G. Leeftink; R.J. Boucherie; E.W. Hans; M.A.M. Verdaasdonk; I.M.H. Vliegen; P.J van Diest

doi:10.5445/KSP/1000045634

Histopathology laboratory operations analysis and improvement

A.G. Leeftink, R.J. Boucherie, E.W. Hans, M.A.M. Verdaasdonk, I.M.H. Vliegen, P.J van Diest

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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Abstract

Histopathology laboratories aim to deliver high quality diagnoses based on patient tissue samples. Indicators for quality are the accuracy of the diagnoses and the diagnostic turnaround times. However, challenges exist regarding employee workload and turnaround times in the histopathology laboratory. This paper proposes a decomposed planning and scheduling method for the histopathology laboratory using (mixed) integer linear programming ((M)ILP) to improve the spread of workload and reduce the diagnostic turnaround times. First, the batching problem is considered, in which batch completion times are equally divided over the day to spread the workload. This reduces the peaks of physical work available in the laboratory. Thereafter, the remaining processes are scheduled to minimize the tardiness of orders. Preliminary results show that using this decomposition method, the peaks in histopathology workload in UMC Utrecht, a large university medical center in the Netherlands, are potentially reduced with up to 50% by better spreading the workload over the day. Furthermore, turnaround times are potentially reduced with up to 20% compared to current practices.

Original language	English
Title of host publication	Proceedings of the First Karlsruhe Service Summit Research Workshop
Subtitle of host publication	Advances in Service Research, Karlsruhe, Germany, February 2015
Editors	Roland Görlitz, Valentin Bertsch, Simon Caton, Niels Feldmann, Patrick Jochem, Maria Maleshkova, Melanie Reuter-Oppermann
Place of Publication	Karlsruhe
Publisher	Karlsruher Institut fur Technologie (KIT) Scientific Publishing
Pages	51-63
Number of pages	13
ISBN (Print)	978-3-7315-0344-6
DOIs	https://doi.org/10.5445/KSP/1000045634
Publication status	Published - Feb 2015
Event	First Karlsruhe Service Summit Research Workshop 2015: Proceedings of the First Karlsruhe Service Summit Research Workshop - Advances in Service Research - Karlsruhe, Germany, Karlsruhe Duration: 26 Feb 2015 → 26 Feb 2015

Publication series

Name	KIT Scientific Reports
Publisher	KIT Scientific Publishing
Volume	7692
ISSN (Print)	1869-9669

Workshop

Workshop	First Karlsruhe Service Summit Research Workshop 2015
City	Karlsruhe
Period	26/02/15 → 26/02/15
Other	26 February 2015

Keywords

Pathology
Parallel batching
Flow shop
Health care
Workload

Access to Document

10.5445/KSP/1000045634

Leeftink2015histopathologyFinal published version, 672 KB

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Leeftink, A. G., Boucherie, R. J., Hans, E. W., Verdaasdonk, M. A. M., Vliegen, I. M. H., & van Diest, P. J. (2015). Histopathology laboratory operations analysis and improvement. In R. Görlitz, V. Bertsch, S. Caton, N. Feldmann, P. Jochem, M. Maleshkova, & M. Reuter-Oppermann (Eds.), Proceedings of the First Karlsruhe Service Summit Research Workshop: Advances in Service Research, Karlsruhe, Germany, February 2015 (pp. 51-63). (KIT Scientific Reports; Vol. 7692). Karlsruher Institut fur Technologie (KIT) Scientific Publishing. https://doi.org/10.5445/KSP/1000045634

Leeftink, A.G. ; Boucherie, R.J. ; Hans, E.W. et al. / Histopathology laboratory operations analysis and improvement. Proceedings of the First Karlsruhe Service Summit Research Workshop: Advances in Service Research, Karlsruhe, Germany, February 2015. editor / Roland Görlitz ; Valentin Bertsch ; Simon Caton ; Niels Feldmann ; Patrick Jochem ; Maria Maleshkova ; Melanie Reuter-Oppermann. Karlsruhe : Karlsruher Institut fur Technologie (KIT) Scientific Publishing, 2015. pp. 51-63 (KIT Scientific Reports).

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title = "Histopathology laboratory operations analysis and improvement",

abstract = "Histopathology laboratories aim to deliver high quality diagnoses based on patient tissue samples. Indicators for quality are the accuracy of the diagnoses and the diagnostic turnaround times. However, challenges exist regarding employee workload and turnaround times in the histopathology laboratory. This paper proposes a decomposed planning and scheduling method for the histopathology laboratory using (mixed) integer linear programming ((M)ILP) to improve the spread of workload and reduce the diagnostic turnaround times. First, the batching problem is considered, in which batch completion times are equally divided over the day to spread the workload. This reduces the peaks of physical work available in the laboratory. Thereafter, the remaining processes are scheduled to minimize the tardiness of orders. Preliminary results show that using this decomposition method, the peaks in histopathology workload in UMC Utrecht, a large university medical center in the Netherlands, are potentially reduced with up to 50% by better spreading the workload over the day. Furthermore, turnaround times are potentially reduced with up to 20% compared to current practices.",

keywords = "Pathology, Parallel batching, Flow shop, Health care, Workload",

author = "A.G. Leeftink and R.J. Boucherie and E.W. Hans and M.A.M. Verdaasdonk and I.M.H. Vliegen and {van Diest}, P.J",

year = "2015",

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doi = "10.5445/KSP/1000045634",

language = "English",

isbn = "978-3-7315-0344-6",

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publisher = "Karlsruher Institut fur Technologie (KIT) Scientific Publishing",

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editor = "Roland G{\"o}rlitz and Valentin Bertsch and Simon Caton and Niels Feldmann and Patrick Jochem and Maria Maleshkova and Melanie Reuter-Oppermann",

booktitle = "Proceedings of the First Karlsruhe Service Summit Research Workshop",

note = "First Karlsruhe Service Summit Research Workshop 2015 : Proceedings of the First Karlsruhe Service Summit Research Workshop - Advances in Service Research ; Conference date: 26-02-2015 Through 26-02-2015",

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Leeftink, AG , Boucherie, RJ , Hans, EW, Verdaasdonk, MAM, Vliegen, IMH & van Diest, PJ 2015, Histopathology laboratory operations analysis and improvement. in R Görlitz, V Bertsch, S Caton, N Feldmann, P Jochem, M Maleshkova & M Reuter-Oppermann (eds), Proceedings of the First Karlsruhe Service Summit Research Workshop: Advances in Service Research, Karlsruhe, Germany, February 2015. KIT Scientific Reports, vol. 7692, Karlsruher Institut fur Technologie (KIT) Scientific Publishing, Karlsruhe, pp. 51-63, First Karlsruhe Service Summit Research Workshop 2015, Karlsruhe, 26/02/15. https://doi.org/10.5445/KSP/1000045634

Histopathology laboratory operations analysis and improvement. / Leeftink, A.G.; Boucherie, R.J.; Hans, E.W. et al.

Proceedings of the First Karlsruhe Service Summit Research Workshop: Advances in Service Research, Karlsruhe, Germany, February 2015. ed. / Roland Görlitz; Valentin Bertsch; Simon Caton; Niels Feldmann; Patrick Jochem; Maria Maleshkova; Melanie Reuter-Oppermann. Karlsruhe : Karlsruher Institut fur Technologie (KIT) Scientific Publishing, 2015. p. 51-63 (KIT Scientific Reports; Vol. 7692).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - Histopathology laboratory operations analysis and improvement

AU - Leeftink, A.G.

AU - Boucherie, R.J.

AU - Hans, E.W.

AU - Verdaasdonk, M.A.M.

AU - Vliegen, I.M.H.

AU - van Diest, P.J

PY - 2015/2

Y1 - 2015/2

N2 - Histopathology laboratories aim to deliver high quality diagnoses based on patient tissue samples. Indicators for quality are the accuracy of the diagnoses and the diagnostic turnaround times. However, challenges exist regarding employee workload and turnaround times in the histopathology laboratory. This paper proposes a decomposed planning and scheduling method for the histopathology laboratory using (mixed) integer linear programming ((M)ILP) to improve the spread of workload and reduce the diagnostic turnaround times. First, the batching problem is considered, in which batch completion times are equally divided over the day to spread the workload. This reduces the peaks of physical work available in the laboratory. Thereafter, the remaining processes are scheduled to minimize the tardiness of orders. Preliminary results show that using this decomposition method, the peaks in histopathology workload in UMC Utrecht, a large university medical center in the Netherlands, are potentially reduced with up to 50% by better spreading the workload over the day. Furthermore, turnaround times are potentially reduced with up to 20% compared to current practices.

AB - Histopathology laboratories aim to deliver high quality diagnoses based on patient tissue samples. Indicators for quality are the accuracy of the diagnoses and the diagnostic turnaround times. However, challenges exist regarding employee workload and turnaround times in the histopathology laboratory. This paper proposes a decomposed planning and scheduling method for the histopathology laboratory using (mixed) integer linear programming ((M)ILP) to improve the spread of workload and reduce the diagnostic turnaround times. First, the batching problem is considered, in which batch completion times are equally divided over the day to spread the workload. This reduces the peaks of physical work available in the laboratory. Thereafter, the remaining processes are scheduled to minimize the tardiness of orders. Preliminary results show that using this decomposition method, the peaks in histopathology workload in UMC Utrecht, a large university medical center in the Netherlands, are potentially reduced with up to 50% by better spreading the workload over the day. Furthermore, turnaround times are potentially reduced with up to 20% compared to current practices.

KW - Pathology

KW - Parallel batching

KW - Flow shop

KW - Health care

KW - Workload

U2 - 10.5445/KSP/1000045634

DO - 10.5445/KSP/1000045634

M3 - Conference contribution

SN - 978-3-7315-0344-6

T3 - KIT Scientific Reports

SP - 51

EP - 63

BT - Proceedings of the First Karlsruhe Service Summit Research Workshop

A2 - Görlitz, Roland

A2 - Bertsch, Valentin

A2 - Caton, Simon

A2 - Feldmann, Niels

A2 - Jochem, Patrick

A2 - Maleshkova, Maria

A2 - Reuter-Oppermann, Melanie

PB - Karlsruher Institut fur Technologie (KIT) Scientific Publishing

CY - Karlsruhe

T2 - First Karlsruhe Service Summit Research Workshop 2015

Y2 - 26 February 2015 through 26 February 2015

ER -

Leeftink AG , Boucherie RJ , Hans EW, Verdaasdonk MAM, Vliegen IMH, van Diest PJ. Histopathology laboratory operations analysis and improvement. In Görlitz R, Bertsch V, Caton S, Feldmann N, Jochem P, Maleshkova M, Reuter-Oppermann M, editors, Proceedings of the First Karlsruhe Service Summit Research Workshop: Advances in Service Research, Karlsruhe, Germany, February 2015. Karlsruhe: Karlsruher Institut fur Technologie (KIT) Scientific Publishing. 2015. p. 51-63. (KIT Scientific Reports). doi: 10.5445/KSP/1000045634

Histopathology laboratory operations analysis and improvement

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Keywords

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