Do we need one science of production in healthcare?

The question addressed is: Is there need, in health care, for one consolidated science of production? For responding to this question, the classical science of production is reviewed and the current approaches to production and service in healthcare are analysed as for their evolution and current status. It is found that these current movements are not self-aware of the restrictions deriving from their backgrounds, and of the resultant partiality in their approaches. It is concluded that improvement of healthcare is slowed down by the fragmentation of the related disciplines; thus one consolidated science of production (of healthcare) is needed

Decision support methods in diabetic patient management by insulin administration neural network vs. induction methods for knowledge classification

Diabetes mellitus is now recognised as a major worldwide public health problem. At present, about 100 million people are registered as diabetic patients. Many clinical, social and economic problems occur as a consequence of insulin-dependent diabetes. Treatment attempts to prevent or delay complications by applying ‘optimal’ glycaemic control. Therefore, there is a continuous need for effective monitoring of the patient. Given the popularity of decision tree learning algorithms as well as neural networks for knowledge classification which is further used for decision support, this paper examines their relative merits by applying one algorithm from each family on a medical problem; that of recommending a particular diabetes regime. For the purposes of this study, OC1 a descendant of Quinlan’s ID3 algorithm was chosen as decision tree learning algorithm and a generating shrinking algorithm for learning arbitrary classifications as a neural network algorithm. These systems were trained on 646 cases derived from two countries in Europe and were tested on 100 cases which were different from the original 646 cases

Workplaces in the cinema

Purpose – The purpose of this paper is to explore the representation of workplaces in the cinema and discuss its relevance to facilities management research. Design/methodology/approach – An analysis of representation of work and the workplace in three films is made. These are Metropolis (1927), Wall Street (1987) and Clerks (1994). Cross-case themes are then discussed. Findings – Although the three films are of different time periods and genres a number of common themes emerge. These include level of control over the work process, alienation from the product of work and social capital gained. This may have implications for how workplaces are perceived and interpreted. Analysis of representations of the workplace in popular culture may contribute to user-centred approaches to facilities management. Research limitations/implications – The study is limited to three films. A different choice might produce different results. Practical implications – Understanding representations of the workplace in popular culture may give insights into user responses to management actions. Originality/value – Although there is a research literature on the analysis of popular culture within organizational studies this has not been taken up by facilities management researchers. This paper explores the relevance of the analysis of an aspect of popular culture for facilities management

Reasons behind ERP package adoption: a diffusion of innovations perspective

Enterprise Resource Planning (ERP) packages have been widely adopted and it is becoming clear that this is driven by multiple rationales that may be simultaneously at odds and complimentary. In this paper, we aim to develop a greater understanding of these rationales by taking ERP packages to be innovations and analysing their adoption with reference to the theory of diffusion of innovations. In particular, we consider the attributes of ERP packages that may affect their adoption such as relative advantage, compatibility, complexiblity, trialability and observability. We argue that users’ perceptions of these attributes are not always accurate and these ’misconceptions’ can further explain reasons for ERP adoption or rejection. Although our analysis aims to provide rich insights into the adoption of ERP packages, the results of the study are arguably of further interest to the more general study of packaged software and the more established literature on custom development