Dynamic simulation modelling of software requirements change management system

2021 ◽  
Vol 83 ◽  
pp. 104009
Author(s):  
Daming Li ◽  
Lianbing Deng ◽  
Xi Zeng ◽  
Zhiming Cai
2021 ◽  
Vol 299 ◽  
pp. 113547
Author(s):  
Tarek Soliman ◽  
Thomas Robertson ◽  
Jeremy McKenzie ◽  
James Williams ◽  
Utkur Djanibekov ◽  
...  

2021 ◽  
Vol 1 ◽  
Author(s):  
Frank Iorfino ◽  
Sarah E. Piper ◽  
Ante Prodan ◽  
Haley M. LaMonica ◽  
Tracey A. Davenport ◽  
...  

Enhanced care coordination is essential to improving access to and navigation between youth mental health services. By facilitating better communication and coordination within and between youth mental health services, the goal is to guide young people quickly to the level of care they need and reduce instances of those receiving inappropriate care (too much or too little), or no care at all. Yet, it is often unclear how this goal can be achieved in a scalable way in local regions. We recommend using technology-enabled care coordination to facilitate streamlined transitions for young people across primary, secondary, more specialised or hospital-based care. First, we describe how technology-enabled care coordination could be achieved through two fundamental shifts in current service provisions; a model of care which puts the person at the centre of their care; and a technology infrastructure that facilitates this model. Second, we detail how dynamic simulation modelling can be used to rapidly test the operational features of implementation and the likely impacts of technology-enabled care coordination in a local service environment. Combined with traditional implementation research, dynamic simulation modelling can facilitate the transformation of real-world services. This work demonstrates the benefits of creating a smart health service infrastructure with embedded dynamic simulation modelling to improve operational efficiency and clinical outcomes through participatory and data driven health service planning.


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