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Grey relational analysis (GRA) proposed by Deng Julong is very useful to analyze medical data. The essential thought of GRA is to find a grey relational order, which can be used to describe the relation between the related factors based on data series. The two‐grade difference is a traditional method of GRA and the three‐grade difference is an improved one. The basic steps and formulae of GRA are introduced and GRA is used to analyze the experiment medical data, clinical trial data, data of clinical study and ambulatory and grouping medical data.

Clinical coding is a process of accurate translation of written medical terms into codes. The Payment by Results initiative has focused attention on the quality of clinical coded data as all income for in patient services is derived from coded clinical data. The aim of this study was to evaluate the quality of clinical coded data by making comparisons between the information held on the dialect encoder system and the information recorded in the clinical case notes.

The 50 episodes for this study were randomly selected from a list of all episodes ending August 2005 within the ENT specialty in a teaching hospital.

There were only 17 (34 per cent) episodes with a structured summary within the case notes. Of the 50 recorded primary diagnoses 42 (84 per cent) were correctly coded. Of the 43 recorded primary procedures, 37 (86 per cent) were correctly coded.

This study promotes a better awareness of the impact of poor coding and gives recommendations that will be helpful to those involved in coding processes.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

A distinction must be drawn between a dismissal on the one hand, and on the other a repudiation of a contract of employment as a result of a breach of a fundamental term of that contract. When such a repudiation has been accepted by the innocent party then a termination of employment takes place. Such termination does not constitute dismissal (see London v. James Laidlaw & Sons Ltd (1974) IRLR 136 and Gannon v. J. C. Firth (1976) IRLR 415 EAT).

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Hospital costs in the USA are a large part of the national GDP. Medical billing and supplies processes are significant and growing contributors to hospital operations costs in the USA. This article aims to identify cost drivers associated with these processes and to suggest improvements to reduce hospital costs.

A Monte Carlo simulation model that uses @Risk software facilitates cost analysis and captures variability associated with the medical billing process (administrative) and medical supplies process (variable). The model produces estimated savings for implementing new processes.

Significant waste exists across the entire medical supply process that needs to be eliminated. Annual savings, by implementing the improved process, have the potential to save several billion dollars annually in US hospitals. The other analysis in this study is related to hospital billing processes. Increased spending on hospital billing processes is not entirely due to hospital inefficiency.

The study lacks concrete data for accurately measuring cost savings, but there is obviously room for improvement in the two US healthcare processes. This article only looks at two specific costs associated with medical supply and medical billing processes, respectively.

This study facilitates awareness of escalating US hospital expenditures. Cost categories, namely, fixed, variable and administrative, are presented to identify the greatest areas for improvement.

The study will be valuable to US Congress policy makers and US healthcare industry decision makers. Medical billing process, part of a hospital's administrative costs, and hospital supplies management processes are part of variable costs. These are the two major cost drivers of US hospitals' expenditures that were examined and analyzed.

As part of the routine work of the medical committees in the Israel Defense Forces, a unique nationwide computerized control system is being implemented to assess and manage medical processes. The purpose of this paper is to report on that implementation.

The computerized system consists of three main components: a specific status indicating the processes in each file, an appointment system, and an internal computerized system that uses a magnetic card for the regulation of the local waiting lists.

The combined computerized system improves the control and management of the medical processes and informatics from the point‐of‐view of both the patients and system operators. Different parameters of quality control regarding the medical and administrative processes are assessed (such as efficiency), and solutions are sought. Computerized system‐based design and re‐allocation of human and medical resources were implemented according to the capacities and limitations of the medical system. A reduction in the daily number of invited recruits improved the quality of the medical encounters. Specific combined status codes were introduced for the efficient planning of the medical encounters. Implementation and automation of medical regulations and procedures within the computerized system make the latter play a key role and serve as a control tool during the decision‐making process.

The computerized system allows efficient follow‐up and management of medical processes and informatics, led to a better utilization of human and medical resources, and becomes a component of the decision making by the system operators and the administrative staff. Such a system could be used with success in clinics, hospitals, and other medical facilities.

This paper aims to attempt to explore current transformations in hospital governance by tracing the evolution of medical autonomy in the Belgian hospital sector in the second half of the twentieth century.

Using published secondary sources and archive data the paper developed a historical approach to the relationship between profession and organisation, asking qualitative questions of the characteristics of professional power and knowledge.

Since World War II, two important evolutions have occurred: first, the hospital evolved into an organisational entity that is described as a “professional bureaucracy”; second, at the sectoral level the hospital adopted a position that is characterised as a “divisional structure”. Both evolutions are linked by the processes of rationalisation and bureaucratisation. The findings do not support the thesis of an overall loss of autonomy but bring into focus the transformation of medical autonomy. New forms of professional power and knowledge are emerging with the processing (bureaucracy) and pre‐processing (rationalisation) of information on medical work as key elements.

The paper explores the evolution of the medical profession's autonomy in the second half of the twentieth century. It highlights reflexivity in the changing relationship between professions and organisations and how physicians are becoming “managers of expertise” who are important for both the hospital organisation and the state.

The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.

This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.

AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.

AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.

This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.

Researchers recommend a reorganization of the medical profession into larger groups with a multispecialty mix. We analyze whether there is evidence for the superiority of these models and if this organizational transformation is underway.

We summarize the evidence on scale and scope economies in physician group practice, and then review the trends in physician group size and specialty mix to conduct survivorship tests of the most efficient models.

The distribution of physician groups exhibits two interesting tails. In the lower tail, a large percentage of physicians continue to practice in small, physician-owned practices. In the upper tail, there is a small but rapidly growing percentage of large groups that have been organized primarily by non-physician owners.

While our analysis includes no original data, it does collate all known surveys of physician practice characteristics and group practice formation to provide a consistent picture of physician organization.

Our review suggests that scale and scope economies in physician practice are limited. This may explain why most physicians have retained their small practices.

Larger, multispecialty groups have been primarily organized by non-physician owners in vertically integrated arrangements. There is little evidence supporting the efficiencies of such models and some concern they may pose anticompetitive threats.

This is the first comprehensive review of the scale and scope economies of physician practice in nearly two decades. The research results do not appear to have changed much; nor has much changed in physician practice organization.