Realising benefits in primary healthcare infrastructures

Purpose: This paper focuses upon the requirements to manage change, tangible and intangible benefits in a joint approach to deliver outputs on time, to quality and cost without failing to realise the benefits of the change. The aim of the paper is to demonstrate the need for benefits driven programme/project management as well as the importance of identifying the stakeholders’ level of involvement and contribution throughout the process, and manage their expectations. Design/methodology/approach: The methodology used is based on an action research approach, combining findings from a literature review and case studies within UK’s primary healthcare sector. Findings: Findings demonstrate development of a Benefits Realisation (BeReal) approach in healthcare through looking at case studies taking place within UK’s primary and acute healthcare sector Research limitations/implications: The framework development is based upon theoretical evidence and further research is needed to test and validate its robustness. Originality/value: The application of Benefits Realisation and Management in developing and delivering primary healthcare facilities. Keywords: Benefits management, Benefits realisation, healthcare infrastructures, process and LIF

Spreading the Creativity Bug

This paper is a reflection on the authors’ experience of attempting to apply creative thinking techniques in the workplace following attendance at a creative thinking course. It explores the process which involved, initially, the application of the techniques to a specific project, growing awareness of the relevance to other aspects of working life, and finally the realisation of the importance of the creative thinking approach to professional development in general

Navigation-by-music for pedestrians: an initial prototype and evaluation

Digital mobile music devices are phenomenally popular. The devices are becoming increasingly powerful with sophisticated interaction controls, powerful processors, vast onboard storage and network connectivity. While there are ‘obvious’ ways to exploit these advanced capabilities (such as wireless music download), here we consider a rather different application—pedestrian navigation. We report on a system (ONTRACK) that aims to guide listeners to their destinations by continuously adapting the spatial qualities of the music they are enjoying. Our field-trials indicate that even with a low-fidelity realisation of the concept, users can quite effectively navigate complicated routes

Issues in the design of switched linear systems : a benchmark study

In this paper we present a tutorial overview of some of the issues that arise in the design of switched linear control systems. Particular emphasis is given to issues relating to stability and control system realisation. A benchmark regulation problem is then presented. This problem is most naturally solved by means of a switched control design. The challenge to the community is to design a control system that meets the required performance specifications and permits the application of rigorous analysis techniques. A simple design solution is presented and the limitations of currently available analysis techniques are illustrated with reference to this example

A new rejection sampling method without using hat function

This paper proposes a new exact simulation method, which simulates a realisation from a proposal density and then uses exact simulation of a Langevin diffusion to check whether the proposal should be accepted or rejected. Comparing to the existing coupling from the past method, the new method does not require constructing fast coalescence Markov chains. Comparing to the existing rejection sampling method, the new method does not require the proposal density function to bound the target density function. The new method is much more efficient than existing methods for certain problems. An application on exact simulation of the posterior of finite mixture models is presented

Back to the Future: Economic Self-Organisation and Maximum Entropy Prediction

This paper shows that signal restoration methodology is appropriate for predicting the equilibrium state of certain economic systems. A formal justification for this is provided by proving the existence of finite improvement paths in object allocation problems under weak assumptions on preferences, linking any initial condition to a Nash equilibrium. Because a finite improvement path is made up of a sequence of systematic best-responses, backwards movement from the equilibrium back to the initial condition can be treated like the realisation of a noise process. This underpins the use of signal restoration to predict the equilibrium from the initial condition, and an illustration is provided through an application of maximum entropy signal restoration to the Schelling model of segregation