Search results

This paper presents research findings of 365 NHS Trust executives in the UK and builds on work carried out on risk perceptions and treatment in facilities management operations and business support activities in the NHS Trusts. The research utilises a business approach of viewing healthcare facilities not only as fixed “assets” occupying hospital sites and space, but it also considers them as that “tangible” part of the service chain process underpinning the provision of clinical services to both internal (departments or directorates) and external customers. The research found that customer satisfaction, service delivery certainty, customer involvement, service quality reliability, health and safety are highly rated by the NHS executives. The paper classifies healthcare related risk constructs into seven elements namely: customer care, corporate, legal, commercial finance and economics, business transfer, and facilities transmitted.

When applied to hotels, the terms “facilities management” and “hotel management” are in many ways synonymous. Certainly effective management of the physical aspects in the hotel business is essential for maximum efficiency. This paper presents a research into facilities management operations in medium sized hotels (11‐50 rooms) in the UK. Medium sized hotels were selected for this research, since 90 per cent of UK hotels have fewer than 50 bedrooms. The key objective is to establish any trends that suggest a relationship between the application of facilities management techniques and the success of hotel businesses. Financial measures were not identified as being of critical importance and there seemed to be more of an interest in cost reduction than in income growth.

To evaluate the use of neural networks in healthcare facilities risk management.

The data used to develop the input to the national health service facilities risk exposure system (NHSFRES) was solicited from 60 healthcare managers. Risk exposure system has been developed using the risk knowledge that was articulated from experienced healthcare operators through postal questionnaires and repertory grid interviews. This knowledge was then transformed and represented in Trajan 4.0, an expert system shell that uses artificial neural networks as its modelling technique.

It provides healthcare facilities operators an avenue to evaluate their own risk management method (point score system) based on their own healthcare business knowledge/judgment and corporate objectives for various FM service operations.

The key issue that should always be noted by NHSFRES users is that, the concept of measuring or evaluating business risks will always be uncertain. Professional judgment, based on sound information, is an essential element in interpreting and using the system.

The model provides healthcare facilities managers a vehicle for predicting pre‐ and post‐facilities risk‐factors in healthcare operations before they occur. A clear understanding of the risk signals would mean that appropriate management course of action should to be considered that will improve FM operators' business performance.

The NHSFRES is developed using the risk knowledge that was articulated from experienced healthcare operators through postal questionnaires and repertory grid interviews. It provides a reasonable early warning signal to the healthcare managers, and can be used by decision makers to evalute the severity of risks on healthcare facilities business operations.

There has been immense pressure exerted by healthcare service consumers and other stakeholders for trusts to purchase, manage and deliver care service at the optimum cost. Many are searching for sustainable strategic options which would proactively redesign, revitalise and manage the effectiveness of their clinical and non‐clinical services. This study evaluates how a facilities management partnering arrangement in the National Healthcare Services (NHS) trust could lead to cost savings and improved customer focused service provision in NHS trust hospitals. It investigates how a modern day approach of managing non‐core related services under one umbrella, facilities management, has brought about innovation, competitiveness, and entrepreneurial skills to reduce some of the escalating costs in the Derbyshire Royal Infirmary. Concludes that facilities management partnering arrangements can secure added value to the healthcare sector and therefore enhance service quality and improve the corporate image.

Risk management in the healthcare sector is a highly relevant sub-domain and a crucial research area from the humanitarian perspective. The purpose of this paper is to focus on the managerial/supply chain risk factors experienced by the government hospitals in an Indian state. The present paper analyzes the inter-relationships among the significant risk factors and ranks those risk factors based on their criticality.

The current research focuses on 125 public hospitals in an Indian state. Questionnaire-based survey and personal interviews were conducted in the healthcare sector among the inpatients and hospital staff to identify the significant risk factors. An integrated DEMATEL–ISM–PROMETHEE method is adopted to analyze the impact potential and dependence behavior of the risk factors.

The analysis asserts the absence of critical risk factors that have a direct impact on patient safety in the present healthcare system under investigation. However, the results illustrate the remarkable impact potential attributed to the risk factor, namely, staff shortage in inducing other risk factors such as employee attitudinal issues, employee health issues and absenteeism altogether resulting in community mistrust/misbeliefs. Maintenance mismanagement, monsoon time epidemics, physical infrastructure limitations are also found to be significant risk factors that compromise patient satisfaction levels.

Multiple options are illustrated to mitigate significant risk factors and operational constraints experienced by public hospitals in the state. The study warrants urgent attention from government officials to fill staff vacancies and to improve the infrastructural facilities to match with the increasing demand from the society. Furthermore, this research recommends the hospital authorities to start conducting induction and training programs for the hospital employees to instill the fundamental code of conduct while working in hectic, challenging and even in conditions with limited resources.

Only limited papers are visible that address the identification and mitigation of risk factors associated with hospitals. The present paper proposes a novel DEMATEL–ISM–PROMETHEE integrated approach to map the inter-relationships among the significant risk factors and to rank those risk factors based on their criticality. Furthermore, the present study discloses the unique setting of the public healthcare system in a developing nation.

Artificial neural network (ANN) has been used for risk analysis in various applications such as engineering, financial and facilities management. However, use of a single network has become less accurate when the problem is complex with a large number of variables to be considered. Ensemble neural network (ENN) architecture has proposed to overcome these difficulties of solving a complex problem. ENN consists of many small “expert networks” that learn small parts of the complex problem, which are established by decomposing it into its sub levels. This paper seeks to address these issues.

ENN model was developed to analyze risks in maintainability of buildings which is known as a complex problem with a large number of risk variables. The model comprised four expert networks to represent building components of roof, façade, internal areas and basement. The accuracy of the model was tested using two error terms such as network error and generalization error.

The results showed that ENN performed well in solving complex problems by decomposing the problem into its sub levels.

The application of ensemble network would create a new concept of analyzing complex risk analysis problems. The study also provides a useful tool for designers, clients, facilities managers/maintenance managers and users to analyze maintainability risks of buildings at early stages.

The history of the development of non-clinical services in infection control (IC) dates back to the pre-modern era. There is evidence of health-care facility management (HFM) services in Roman military hospitals. With the fall of the Roman Empire, Christian beliefs and teaching shaped the development of HFM in monastic hospitals. It was not until the late Victorian era that the link between HFM services and diseases caused by “miasma”, or bad air, became established. The discovery of bacteria in the modern scientific era reduced the level of importance previously attached to non-clinical causes of infections. Today, in the NHS, HFM services continue to be treated as though they had no real role to play in IC. This paper aims to collate historical and epidemiological evidence to show the link between HFM and IC.

The evidence gathered in this research paper is primarily based on an in-depth review of research from a wide range of sources. A “within-study literature analysis” was conducted to synthesise the research materials. This involved the application of “between-source triangulation” to verify the quality of the information contained in the studies, and “between-source complementarity” to provide an in-depth elaboration of the historical facts.

Historical and epidemiological evidence shows that HFM services such as cleaning, waste management, catering, laundry and maintenance continue to play a crucial role in IC. This is corroborated by evidence gathered from the work of renowned pioneers in the field of IC. However, reforms in the NHS have failed to consider this, as HFM services have been largely fragmented through different partnership arrangements.

Among many other things, this research raises the profile of HFM staff in relation to the issue of IC in hospitals. It presents convincing evidence to show that the relationship between the clinical and non-clinical domains in controlling infections in hospitals has a long history. The findings of this research give HFM staff invaluable information about the significant role of their profession in the control of infections in hospitals.

This is one of the few studies examining the historical development of HFM services, as well as their contribution to IC. Other work in this area has mainly been framed from a clinical health-care perspective.

This paper aims to assess the facility management (FM) practices in public and private buildings, and compare the practices in both the buildings. This paper critically analysed the current FM practices and explored the range of contributions that the facility manager could offer in both public and private buildings.

A case study of 19 public and 20 private buildings in Ibadan and Akure cities was carried out in this paper.

The paper revealed that the state of FM awareness is higher in private buildings than in public buildings and that FM practices in the two types of buildings are significantly related, but the extent of usage of FM methods are significantly different in the buildings. It was also observed in the research that corrective and responsive FM practices are the order of the day in both public and private buildings.

The paper acknowledged that the involvement of the facility manager with the integrated design team if implemented efficiently will contribute in reducing the need for major repairs and alterations in the lifespan of the facility and that the practices of preventive, planned and immediate responsive approaches would better the life of buildings.

The paper recommended that stricter action should be taken to mitigate against the poor handling and misuse of buildings by users, as it affects negatively the success story of FM in the country.

This paper reached out to address the lack of proper FM in the country.

The complexity and criticality of healthcare services highlight the importance of maintenance management function in healthcare facilities. The purpose of this paper is to review the literature on maintenance management of healthcare facilities and hospital buildings to provide an organized literature review and identify gaps from the perspective of research and practice.

The paper categorizes the literature and adopts a review hierarchy according to maintenance management functions in hospital buildings. It explores the impact of those functions on the performance of maintenance activities in hospitals. Furthermore, it examines the role of information technology and automated decision support systems in facilitating hospital maintenance management functions and performance.

Literature on maintenance management in healthcare facilities and hospital buildings has so far been very limited. Recently published literature focusing on healthcare facilities management and its maintenance management functions is classified into various areas and sub-areas. The paper highlights gaps in the literature and suggests avenues for future research and improvements.

The paper contains a comprehensive listing of publications and their classifications according to various attributes. It will be useful for researchers, maintenance managers, practitioners and stakeholders concerned with facility management of hospital buildings.

The increasing competitiveness in the business sector forces facilities managers in reducing expenditure on “non‐core” activities. Consequently, the integration of different domains related to facilities management (FM) motivates the development of a quantitative model, which may contribute both to the planning of FM activities and to the improved effectiveness of FM units. Three methodologies were used in the research presented in this paper: a structured FM survey conducted among acute care facilities in Israel; a statistical analysis of the data; and the conceptual development of an FM model. The proposed model is divided into three main phases that deal with the following five main FM domains. The outcomes of the model produce a set of variables, which can be analysed according to a given facility. In addition, the model provides guidelines for the methodological design and management of healthcare facilities from a life‐cycle perspective.