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The purpose of this technical paper is to provide a review of the applications of radio frequency identification (RFID) in healthcare management systems. It seeks to describe RFID's key points, adoptions, risks and benefits, and the areas of its applications. Some applications of RFID in healthcare management are briefly reviewed and three cases are discussed.

The paper provides key information on RFID and the integration of healthcare systems and RFID for generating new systems with higher levels of profitability, efficiency, and productivity.

To make healthcare systems functional and successfully operational, the healthcare industry can use RFID solutions to reduce operating costs by decreasing the labor costs, insurance claims, the risks associated with medical errors, and errors in medication filling pharmacies. This will help the healthcare industry to increase the operating income by reducing working capital through reductions in inventory level and lowering appropriate costs. Such strategies can bring higher levels of profitability and productivity to the healthcare systems.

Owing to the fact that a better management of healthcare system is related to the full understanding of RFID technologies and the system under consideration, sufficient background on the RFID technology along with its risks and benefits are provided and its impact on the healthcare management system including profitability and productivity enhancement are discussed.

In this paper, author has discussed about the RFID active and passive tags, the costs of tags, its producers, and frequencies.

This paper seeks to focus on 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.

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 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.

The framework development is based on theoretical evidence and further research is needed to test and validate its robustness.

The paper highlights the application of benefits realisation and management in developing and delivering primary healthcare facilities.

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.

The purpose of this paper is to conduct an empirical study derived from the previous literature from the perspective of benefits, tools and techniques, continuous improvement (CI) and quality improvement (QI) methodologies and critical failure factors (CFFs) of Lean and Six Sigma (SS) in the national health service (NHS).

A literature review was carried out to identify previous findings, empirical data and critical variables concerning Lean and SS in healthcare for over ten years. Second, primary research in quantitative surveys and qualitative interviews was carried out with 110 participants who have experience using Lean and SS in the NHS.

Lean and SS have evolved into common practices within the NHS and now have an established list of tools and techniques frequently employed by staff. Lean and SS are considered robust CI methodologies capable of effectively delivering extensive benefits across many different categories. The NHS must overcome a sizable amount of highly important CFFs and divided organizational culture.

This paper has developed the most extensive empirical study ever produced on Lean and SS in the NHS and has expanded on previous works to create new and updated research. The findings produced in this paper will assist NHS medical directors and practitioners in obtaining up-to-date insight into Lean and SS status in the NHS. The paper will also guide the NHS to critically evaluate their current CI strategy to ensure long-term sustainability and deliver improved levels of service to patients.

This paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).

The study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.

Results indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.

The results may be limited to the context of the sample and the factors considered. The study suggests future research areas.

The paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.

The study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries.

Unequal social conditions that provide people with unequal opportunities to live healthy lives are considered unjust and associated with “health inequity”. Governing power is impacting people's lives through laws, policies and professional decisions, and can be used intentionally to combat health inequity by addressing and changing people's living- and working conditions. Little attention is paid to how these ways of exercising governing power unintentionally can structure further conditions for health inequity. In this paper, the authors coin the term “governance determinants of health” (GDHs). The authors' discussion of GDHs potential impact on health inequity can help avoid the implementation of governing strategies with an adverse impact on health equality. This paper aims to discuss the aforementioned objective.

The authors identify Governance Determinants of Health, the GDHs. GDHs refer to governance strategies that structurally impact healthcare systems and health equality. The authors focus on the unintended, blind sides of GDHs that maintain or reinforce the effects of socioeconomic inequality on health.

The power to organize healthcare is manifested in distinct structural approaches such as juridification, politicalization, bureaucratization and medical standardization. The authors explore the links between different forms of governance and health inequalities.

The authors' discussion in this article is innovative as it seeks to develop a framework that targets power dynamics inherent in GHDs to help identify and avoid GDHs that may promote unequal access to healthcare and prompt health inequity. However, this framework has limitations as the real-world, blurred and intertwined aspects of governing instruments are simplified for analytical purposes. As such, it risks overestimating the boundaries between the separate instruments and reducing the complexity of how the GDHs work in practice. Consequently, this kind of theory-driven framework does not do justice to the myriad of peoples' complex empirical practices where GDHs may overlap and intertwine with each other. Nevertheless, this framework can still help assist governing authorities in imagining a direction for the impacts of GDHs on health equity, so they can take precautionary steps to avoid adverse impacts.

The authors develop and explore – and demonstrate – the relevance of a framework that can assist governing authorities in anticipating the impacts of GDHs on health inequity.

To explore from an ethical paradigm the current research in support of and opposition to imposing caps on non‐economic damages as a means of addressing the healthcare crisis.

A review of peer‐ and non‐peer‐reviewed articles primarily covering the period from 2001‐2004, which addresses the rationale articulated in support of and in opposition to imposing caps on non‐economic damages. The articles are sorted into sections and critiqued: rationale for imposing caps, arguments against caps, ethical paradigms impacting caps, and conclusions.

Provides information from the various sources. Addresses the biases that may have shaped the authors' conclusions and some of the ethical paradigms that may have impacted positions. Also demonstrates that the unbiased research seems to establish a minimal nexus between caps and the proposed impact.

Focus is exclusively on the US healthcare and judicial system. However, findings may still have implications outside the USA in countries that have similar tort laws for addressing private wrongs.

A useful source of information for graduate students in public policy or healthcare management courses, or legislators looking for a quick reference to research regarding this topic area.

This paper fulfills an identified resource for non‐biased assessment of the problem presented and provides a critical review of the reasons articulated in support of this public policy.

The impact of the COVID-19 pandemic on healthcare operations has raised questions about the applicability and capacity of the lean approach to respond to critical events. Thus, with a dearth of studies addressing this issue, this study aims to understand the role of lean in healthcare operations under the disruptive impact of the COVID-19 pandemic.

Drawing on a case study carried out in an emergency department in Brazil during the COVID-19 outbreak, the author presents results from semi-structured interviews and document analysis.

The results show three prominent themes that respond to this study's purpose: lean applicability during the pandemic, lean challenges during the pandemic and the pandemic impact on the lean processes. Furthermore, the study underscores that lean is not the panacea to operational problems caused by the pandemic in healthcare organisations, but it eases the impact on their operations. Finally, this study contributes to the discipline of operations management and highlights the need to rethink lean applications during disruptive events, focusing on flexibility, adaptability and patients' needs.

The literature addressing the pandemic impact on healthcare operations is still new and emerging; therefore, it is possible that some of the studies that are under review and could contribute to this study were not considered.

The study provides a better understanding of the lessons learned from the real-world experiences gained during the pandemic, helping managers to make informed decisions when developing contingency plans to improve healthcare readiness and responsiveness under crisis conditions (e.g. untenable demand and constrained capacity).

Given the contemporary nature of this pandemic, only few emerging studies addressing the impact of the pandemic on lean healthcare operations are available and scholars are calling for more empirical studies. Furthermore, there is an increasing criticism and scepticism about the applicability of lean in healthcare during a pandemic. Thus, this research both provides original contributions by responding to scholars' calls for novel research in this area and further contributes towards filling the void in the literature.

The purpose of this paper is to make readers aware of the extensiveness of healthcare fraud in the USA and how it involves and affects the government, healthcare providers, insurance companies, patients and the public. In addition, recommendations are made that may help control this pervasive type of fraud.

A range of different journal publications, information from government health institutions and law enforcement websites, healthcare fraud cases and healthcare laws are used as a basis to provide information about how fraudsters are committing healthcare fraud and how to prevent this fraud from occurring.

Despite increased funding and prosecution efforts by the government, healthcare fraud continues to be a major threat to the US economy and public. While healthcare fraud will never be eradicated, specific efforts can be deployed to help rein in these complex fraud schemes.

The paper provides a useful resource of information on healthcare fraud for healthcare providers, insurance companies, patients and the public that may help combat healthcare fraud and prevent financial losses.

Every dollar saved from combating fraud could be used to improve access to more or better health services and can, thereby, save lives.

This paper provides recommendations regarding healthcare fraud that could help prevent this large drain on the US economy.

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.