Kumar Ashish, Lam Sean Shao Wei, Chan Sze Ling, Xu Yingqi, Ge Yao, Gui Geoffrey Kah Tack, Tan Hiang Khoon
Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
Singapore Health Services, Singapore, Singapore.
Health Res Policy Syst. 2025 May 27;23(1):71. doi: 10.1186/s12961-025-01333-9.
The complex systemic nature of Future Hospital design in the rapidly ageing city-state of Singapore calls for systems thinking. We apply this approach to answer two research questions: (i) What are the variables that drive the present and future dynamics of the Future Hospital system? (ii) How are these driving variables related?
Causal loop diagrams (CLDs) were developed collaboratively by a cross-functional system modelling team through group modelling discussions and reviews, totalling 20 sessions. Network analysis of the resulting CLDs was used to identify dominant variables.
Seven interlocking CLDs (national view, cluster view, and study hospital top level, outpatient, emergency department, inpatient and surgeries and procedures views) were created to serve as "boundary objects" for different Future Hospital stakeholders, as well as researchers and planners of other Future Hospital systems. Important feedback loops and 15 interventions for redesign were identified. In all the modelled services (outpatient, emergency, inpatient and surgeries and procedures), capacities are subject to positive feedback loops. Alternative models of care are needed to restrain ever-increasing demand. Need for agility (the need for ability to quickly deploy and pivot capacity in responses to crises) is the variable with the highest betweenness centrality in the combined network of seven CLDs.
We address the need for greater openness on Future Hospital initiatives by making our resulting logic maps public. Due to their qualitative nature, the CLDs are insightful for Future Hospital strategic planning exercises globally.
在快速老龄化的城市国家新加坡,未来医院设计具有复杂的系统性,这需要系统思维。我们运用这种方法来回答两个研究问题:(i)驱动未来医院系统当前和未来动态的变量有哪些?(ii)这些驱动变量是如何相互关联的?
一个跨职能系统建模团队通过小组建模讨论和评审共同绘制因果循环图(CLD),共进行了20次会议。对生成的因果循环图进行网络分析,以识别主导变量。
创建了七个相互关联的因果循环图(国家视角、集群视角以及研究医院顶层、门诊、急诊科、住院部和手术及诊疗流程视角),作为不同未来医院利益相关者以及其他未来医院系统的研究人员和规划者的“边界对象”。确定了重要的反馈回路和15项重新设计的干预措施。在所有建模服务(门诊、急诊、住院以及手术和诊疗流程)中,容量都受到正反馈回路的影响。需要替代护理模式来抑制不断增长的需求。敏捷性需求(即快速部署和调整容量以应对危机的能力需求)是七个因果循环图组合网络中介中心性最高的变量。
我们通过公开最终生成的逻辑图,满足了未来医院项目对更高开放性的需求。由于因果循环图的定性性质,它们对全球未来医院战略规划活动具有深刻的启示意义。