An exploratory assessment of the impact of a novel risk assessment test on breast cancer clinic waiting times and workflow: a discrete event simulation model

Background Breast cancer clinics across the UK have long been struggling to cope with high demand. Novel risk prediction tools – such as the PinPoint test – could help to reduce unnecessary clinic referrals. Using early data on the expected accuracy of the test, we explore the potential impact of Pi...

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Veröffentlicht in:BMC health services research Jg. 22; H. 1; S. 1 - 9
Hauptverfasser: Smith, Alison F., Frempong, Samuel N., Sharma, Nisha, Neal, Richard D., Hick, Louise, Shinkins, Bethany
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London BioMed Central 29.10.2022
BioMed Central Ltd
Springer Nature B.V
BMC
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ISSN:1472-6963, 1472-6963
Online-Zugang:Volltext
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