Quality Management and Managerialism in Healthcare:: A Critical Historical Survey

Quality Management and Managerialism in Healthcare creates a comprehensive and systematic international survey of various perspectives on healthcare quality management together with some of their most pertinent critiques. Chapter one starts with a general discussion of the factors that drove the introduction of management paradigms into public sector and health management contexts in the mid to late 1980s. Chapter two explores the rise of risk awareness in medicine; which, prior to the 1980s, stood largely in isolation to the implementation of managerial performance targets. Chapter three investigates the widespread adoption of performance management and clinical governance frameworks during the 1980s and 1990s. This is followed by Chapters four and five which examine systems based models of patient safety and the evidence-based medicine movement as exemplars of managerial perspectives on healthcare quality. Chapter six discusses potential future avenues for the development of alternative perspectives on quality of care which emphasise workforce involvement. The book concludes by reviewing the factors which have underpinned the managerialist trajectory of healthcare management over the past decades and explores the potential impact of nascent technologies such as 'connected health' and 'telehealth' on future developments.

Millimeter-wave communications for 5G: fundamentals: Part I [Guest Editorial]

The widespread availability and demand for multimedia capable devices and multimedia content have fueled the need for high-speed wireless connectivity beyond the capabilities of existing commercial standards. While fiber optic data transfer links can provide multigigabit- per-second data rates, cost and deployment are often prohibitive in many applications. Wireless links, on the contrary, can provide a cost-effective fiber alternative to interconnect the outlining areas beyond the reach of the fiber rollout. With this in mind, the ever increasing demand for multi-gigabit wireless applications, fiber segment replacement mobile backhauling and aggregation, and covering the last mile have posed enormous challenges for next generation wireless technologies. In particular, the unbalanced temporal and geographical variations of spectrum usage along with the rapid proliferation of bandwidth- hungry mobile applications, such as video streaming with high definition television (HDTV) and ultra-high definition video (UHDV), have inspired millimeter-wave (mmWave) communications as a promising technology to alleviate the pressure of scarce spectrum resources for fifth generation (5G) mobile broadband.

A dynamic sampling methodology for plasma etch processes using Gaussian process regression

Plasma etch is a key process in modern semiconductor manufacturing facilities as it offers process simplification and yet greater dimensional tolerances compared to wet chemical etch technology. The main challenge of operating plasma etchers is to maintain a consistent etch rate spatially and temporally for a given wafer and for successive wafers processed in the same etch tool. Etch rate measurements require expensive metrology steps and therefore in general only limited sampling is performed. Furthermore, the results of measurements are not accessible in real-time, limiting the options for run-to-run control. This paper investigates a Virtual Metrology (VM) enabled Dynamic Sampling (DS) methodology as an alternative paradigm for balancing the need to reduce costly metrology with the need to measure more frequently and in a timely fashion to enable wafer-to-wafer control. Using a Gaussian Process Regression (GPR) VM model for etch rate estimation of a plasma etch process, the proposed dynamic sampling methodology is demonstrated and evaluated for a number of different predictive dynamic sampling rules. © 2013 IEEE.