Skip to main content
Top
Published in: BMC Health Services Research 1/2018

Open Access 01-12-2018 | Research article

Implementing large scale fast track diagnostics in a comprehensive cancer center, pre- and post-measurement data

Authors: W. H. van Harten, N. Goedbloed, A. H. Boekhout, S. Heintzbergen

Published in: BMC Health Services Research | Issue 1/2018

Login to get access

Abstract

Background

In general, patients with a cancer suspicion visit the hospital multiple times before diagnosis is completed. Using various “operations management” techniques a few fast track diagnostic services were implemented in the Netherlands Cancer Institute (NKI) in 2006. Growing patient numbers and increasing process complexity, led to diminished service levels. To decrease the amount of patient visits and to extend these services beyond the (obvious) breast cancer services, fast track diagnostics is now implemented for all 18 cancer types that present with a frequency of minimally one per week.

Methods

The throughput time (first visit to diagnosis conversation) was measured before, and after implementation of fast track diagnostics. The process was redesigned closely involving the multidisciplinary teams. In an eclectic approach elements from lean management, theory of constraints and mathematical analysis were used to organize slots per tumor type for MRI, CT, PET and echography. A post measurement was performed after 3 and 6 months.

Results

In pre measurement access time was calculated to be 10 to 15 workdays, mean throughput time was 6.0 workdays. It proved possible to design the process of 18 tumors as a fast track, of which 7 as “one stop shop” (diagnosis completed in one visit). Involvement of clinical- and board leadership, massive communication efforts and commitment of physicians to reschedule their work proved decisive. After 3 and 6 months of implementation, the mean access time was 8.2 and 8.7 workdays respectively and mean throughput time was 3.4 and 3.3 workdays respectively.

Conclusions

Throughput- and access time were considerably shortened after implementation of fast track diagnostics for 18 cancer types. The involvement of physicians in reorganizing their work and rapid responding to their needs during the implementation phase were a crucial success factor.
Literature
1.
go back to reference IGZ. Het resultaat telt ziekenhuizen 2012. Utrecht: Inspectie voor de Gezondheidszorg, 2014. IGZ. Het resultaat telt ziekenhuizen 2012. Utrecht: Inspectie voor de Gezondheidszorg, 2014.
2.
go back to reference Custers T, Arah OA, Klazinga NS. Is there a business case for quality in The Netherlands? A critical analysis of the recent reforms of the health care system. Health Policy. 2007;82(2):226–39. Custers T, Arah OA, Klazinga NS. Is there a business case for quality in The Netherlands? A critical analysis of the recent reforms of the health care system. Health Policy. 2007;82(2):226–39.
3.
go back to reference Visser, J, Beech, R. Health operations management: patient flow logistics in health care. 2005, Oxon and New York: Routeledge. Visser, J, Beech, R. Health operations management: patient flow logistics in health care. 2005, Oxon and New York: Routeledge.
4.
go back to reference Porter, M.E. The Strategy That Will Fix Health Care. Harvard Business Review. 2013 Porter, M.E. The Strategy That Will Fix Health Care. Harvard Business Review. 2013
5.
go back to reference van Lent, W.A.M., Goedbloed, N, van Harten, W.H. Improving the efficiency of a chemotherapy day unit: applying a business approach to oncology. Eur J Cancer, 2009;5(45):800–806. van Lent, W.A.M., Goedbloed, N, van Harten, W.H. Improving the efficiency of a chemotherapy day unit: applying a business approach to oncology. Eur J Cancer, 2009;5(45):800–806.
6.
go back to reference van Lent WAM, et al. Reducing the throughput time of the diagnostic track involving CT scanning with computer simulation. Eur J Radiol. 2012;81(11):3131–40.CrossRefPubMed van Lent WAM, et al. Reducing the throughput time of the diagnostic track involving CT scanning with computer simulation. Eur J Radiol. 2012;81(11):3131–40.CrossRefPubMed
7.
go back to reference van Lent WA, Sanders EM, van Harten WH. Exploring improvements in patient logistics in Dutch hospitals with a survey. BMC health services research. 2012;232(12) van Lent WA, Sanders EM, van Harten WH. Exploring improvements in patient logistics in Dutch hospitals with a survey. BMC health services research. 2012;232(12)
8.
go back to reference Dyrop HB, et al. Cancer Patient Pathways shortens waiting times and accelerates the diagnostic process of suspected sarcoma patients in Denmark. Health Policy. 2013;113(1–2):110–7.CrossRefPubMed Dyrop HB, et al. Cancer Patient Pathways shortens waiting times and accelerates the diagnostic process of suspected sarcoma patients in Denmark. Health Policy. 2013;113(1–2):110–7.CrossRefPubMed
9.
go back to reference Laursen EL, Rasmussen BK. Work-up times in an integrated brain cancer pathway. Dan Med J. 2012;59(5):A4438. Laursen EL, Rasmussen BK. Work-up times in an integrated brain cancer pathway. Dan Med J. 2012;59(5):A4438.
10.
go back to reference Sorenson JR, et al. A "package solution" fast track program can reduce the diagnostic waiting time in head and neck cancer. Eur Arch Otorhinolaryngol. 2014;271:1163–70.CrossRef Sorenson JR, et al. A "package solution" fast track program can reduce the diagnostic waiting time in head and neck cancer. Eur Arch Otorhinolaryngol. 2014;271:1163–70.CrossRef
11.
go back to reference Toustrup K, et al. Reduction in waiting time for diagnosis and treatment of head and neck cancer - a fast track study. Acta Oncol. 2011;50:636–41.CrossRefPubMed Toustrup K, et al. Reduction in waiting time for diagnosis and treatment of head and neck cancer - a fast track study. Acta Oncol. 2011;50:636–41.CrossRefPubMed
12.
go back to reference Langabeer JR, et al. Implementation of Lean and Six Sigma quality initiatives in hospitals: A goal theoretic perspective. Operations Manage Res. 2009;2(1):13–27.CrossRef Langabeer JR, et al. Implementation of Lean and Six Sigma quality initiatives in hospitals: A goal theoretic perspective. Operations Manage Res. 2009;2(1):13–27.CrossRef
13.
go back to reference van Lent WA, de Beer RD, van Harten WH. International benchmarking of specialty hospitals. A series of case studies on comprehensive cancer centres. BMC Health Services Res. 2010;253(10):249–70. van Lent WA, de Beer RD, van Harten WH. International benchmarking of specialty hospitals. A series of case studies on comprehensive cancer centres. BMC Health Services Res. 2010;253(10):249–70.
14.
go back to reference Lewin K. Frontiers in group dynamics: ii. channels of group life; social planning and action research. Human Relations. 1947:143–53. Lewin K. Frontiers in group dynamics: ii. channels of group life; social planning and action research. Human Relations. 1947:143–53.
15.
go back to reference Suc J, Prokosch HU, Ganslandt T. Applicability of Lewin's change management model in a hospital setting. Methods Inf Med. 2009;(5):419–28. Suc J, Prokosch HU, Ganslandt T. Applicability of Lewin's change management model in a hospital setting. Methods Inf Med. 2009;(5):419–28.
16.
go back to reference Mosel D, Gift B. Collaborative benchmarking in health care. Jt Comm J Qual Improv. 1994;20(5):239–49.PubMed Mosel D, Gift B. Collaborative benchmarking in health care. Jt Comm J Qual Improv. 1994;20(5):239–49.PubMed
17.
go back to reference Brailsford SC, et al. An analysis of the academic literature on simulation and modelling in health care. J Simul. 2009;3(3):130–40.CrossRef Brailsford SC, et al. An analysis of the academic literature on simulation and modelling in health care. J Simul. 2009;3(3):130–40.CrossRef
18.
go back to reference Leinster SJ. How I do it - breast cancer. The psychological management of the patient with early breast cancer. Eur J Surg Onc. 1994;20(6):711–4. Leinster SJ. How I do it - breast cancer. The psychological management of the patient with early breast cancer. Eur J Surg Onc. 1994;20(6):711–4.
19.
go back to reference Morse JM, et al. Awaiting diagnosis of breast cancer: strategies of enduring for preserving self. Oncology nursing forum. 2014;41(4):350–9.CrossRefPubMed Morse JM, et al. Awaiting diagnosis of breast cancer: strategies of enduring for preserving self. Oncology nursing forum. 2014;41(4):350–9.CrossRefPubMed
20.
go back to reference van Harten WH, Casparie TF, Fisscher OA. Methodological considerations on the assessment of the implementation of quality management systems. Health Policy. 2000;54:187–200.CrossRefPubMed van Harten WH, Casparie TF, Fisscher OA. Methodological considerations on the assessment of the implementation of quality management systems. Health Policy. 2000;54:187–200.CrossRefPubMed
Metadata
Title
Implementing large scale fast track diagnostics in a comprehensive cancer center, pre- and post-measurement data
Authors
W. H. van Harten
N. Goedbloed
A. H. Boekhout
S. Heintzbergen
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2018
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-018-2868-5

Other articles of this Issue 1/2018

BMC Health Services Research 1/2018 Go to the issue