An nD modelling approach to improved communication processes in construction

The number and variety of design and construction stakeholders can make effective and efficient collaboration difficult, a situation that is not helped by the sequential way in which many of the processes work. This paper presents the findings of a number of workshops focussing on the problems and barriers inherent in the industry which would currently prevent effective implementation of a process improvement tool. Discussion attempts to illustrate the ways in which the concurrent approach that nD Modelling is taking can help overcome the most significant of these problems. It is concluded that an nD model could provide the greatest value as a communication tool for industry and education as education arguably provides one of the greatest opportunities by which improvements to the industry may come about

Modelling and simulating unplanned and urgent healthcare: the contribution of scenarios of future healthcare systems.

The current financial challenges being faced by the UK economy have meant that the NHS will have to make £20 billion of savings between 2010 and 2014 requiring it to be innovative about how it delivers healthcare. This paper presents the methodology of a research project that is simulating the whole healthcare system with the aim of reducing waste within urgent unscheduled care streams whilst understanding the impact of such changes on the whole system. The research is aimed at care commissioners who could use such simulation in their decision-making practice, and the paper presents the findings from early stakeholder discussions about the scope and focus of the research and the relevance of stakeholder consultation and scenarios in the development of a valid decision-support tool that is fit for purpose

A multi-faceted approach to optimising a complex unplanned healthcare system

Unscheduled and urgent health care represents the largest area of activity and cost for the UK’s National Health Service (NHS). Like typical complex systems unplanned care has the features of interdependence and having structures at different scales which requires modelling at different levels. The aim of this paper is to discuss the development of a multifaceted approach to study and optimise this complex system. We aim to integrate four different methodologies to gain better understanding of the nature of the system and to develop ways to enhance its performance. These methodologies are: (a) Lean/ Flow theory to look at the process and patients and other flows; (b) Simulation/ System Dynamics to undertake analytical analysis and multi-level modelling; (c) stakeholder consultation and use of system thinking to analyse the system and identify options, barriers and good practice; and (d) visual analytic modelling to facilitate effective decision making in this complex environment. Of particular concern are the boundary issues i.e. how changes in unplanned care will impact on the adjacent facilities and ultimately on the whole Healthcare system