University of Auckland, Engineering Science, 70 Symonds st, 3rd floor Uniservices House, New Zealand.
University of Auckland, Engineering Science, 70 Symonds st, 3rd floor Uniservices House, New Zealand.
Healthc (Amst). 2016 Dec;4(4):252-258. doi: 10.1016/j.hjdsi.2016.04.012. Epub 2016 May 26.
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.
本文介绍了一项研究案例，该研究旨在改善对高优先级癌症患者的治疗服务。作者提出了一个建模框架，该框架使用北岸医院 IT 系统收集的时间戳数据作为“常规业务”，来描述患者在癌症治疗过程中的就诊流程。开发了一个模拟流程，该流程使用这些数据来估算当前运营实践下的服务性能，并支持“假设分析”，以确定在当前实践中可以最有效地应用更改的位置，从而确保可以将额外的资源投入到可以带来最大改善的患者路径步骤中。该流程使用乳腺癌流程作为案例研究进行了说明，研究时间为初始研究期间（2013 年 7 月至 2014 年 6 月），并简要介绍了 2014 年 7 月至 9 月底的 3 个月的后续分析。
