Faster Cancer Treatment: Using timestamp data to improve patient journeys

Cameron Walker, Michael O'Sullivan, Ilze Ziedins, Nikolaus Furian

Research output: Contribution to journalArticlepeer-review


This paper presents a case study of research conducted to improve the delivery of treatment to high priority cancer patients. The authors present a modelling framework that uses time-stamp data collected by the North Shore Hospital IT systems as “business as usual”, to describe the patient journey through the cancer-care process. A simulation process is developed that uses this data to estimate the service's performance under current operating practices, and enables “what-if” analysis to identify where changes to current practice can most effectively be applied, ensuring the investment of additional resource can be targeted at the steps of the patient pathway where it can result in the greatest improvement. The process is illustrated using the Breast Cancer stream as a case-study, for the initial study period (July 2013 to June 2014), with a follow-up analysis presented briefly for the 3 months from July to the end of September 2014.
Original languageEnglish
Pages (from-to)252-258
Issue number4
Publication statusPublished - 2016


  • Improving Cancer Treatment,
  • Bootstrap simulation
  • Healthcare Analytics


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