Literature DB >> 28007222

Faster Cancer Treatment: Using timestamp data to improve patient journeys.

C G Walker1, M J O'Sullivan2, I Ziedins2, N Furian2.   

Abstract

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bootstrap simulation; Healthcare Analytics; Improving Cancer Treatment

Mesh:

Year:  2016        PMID: 28007222     DOI: 10.1016/j.hjdsi.2016.04.012

Source DB:  PubMed          Journal:  Healthc (Amst)        ISSN: 2213-0764


  2 in total

1.  On Clinical Utility and Systematic Reporting in Case Studies of Healthcare Process Mining.

Authors:  Dylan A Mordaunt
Journal:  Int J Environ Res Public Health       Date:  2020-11-10       Impact factor: 3.390

2.  Definition and conceptualization of the patient-centered care pathway, a proposed integrative framework for consensus: a Concept analysis and systematic review.

Authors:  Jean-Baptiste Gartner; Kassim Said Abasse; Frédéric Bergeron; Paolo Landa; Célia Lemaire; André Côté
Journal:  BMC Health Serv Res       Date:  2022-04-26       Impact factor: 2.908

  2 in total

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