Cooke, E A; Smith, N A S; Chung, D; Goretzki, B; Thomas, S A; Flanagan, A; Gerrand, C; Navani, N; Rajan, P; Roy, A; Schilling, C; Smyth, E; Stimpson, P; Strauss, S J; Hughes, D (2025) An analytical framework for enhancing cancer care efficiency in North London hospitals. Healthcare Analytics, 8. 100406 ISSN 27724425

Preview

Text eid10509.pdf - Published Version Available under License Creative Commons Attribution Non-commercial. Download (13MB) | Preview

Abstract

Delays in cancer treatment initiation due to factors such as inefficient processes, resource limitations, and administrative bottlenecks within healthcare systems are linked to adverse clinical outcomes. In this paper, we aim to understand the factors which prolong the time between referral and treatment starting for cancer patients on pathways which cross providers. We analyse three tumour pathways which involve transfer of patients between hospitals: sarcoma, urological, and head and neck cancers. In this study, we report on the factors which influence pathway length from referral to treatment, and which may inform targeted interventions to optimise care pathways, streamline resource allocation, and enhance care coordination

Item Type:	Article
Subjects:	Mathematics and Scientific Computing > Modelling
Divisions:	Data Science
Identification number/DOI:	10.1016/j.health.2025.100406
Last Modified:	04 Sep 2026 11:16
URI:	https://eprintspublications.npl.co.uk/id/eprint/10509