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Purpose: As biomedicine grants technology and quantification privileged roles in our cultural constructions of health, media and technology play an increasingly important role in mediating our everyday experiences of our bodies and may contribute to the reproduction of gendered norms.

Design: This study draws from a broad variety of disciplines to contextualize and interpret contemporary trends in self-quantification, focusing on metrics for health and fitness. I will also draw from psychology and feminist scholarship on objectification and body-surveillance.

Findings: I interpret body-tracking tools as biomedical technologies of self-surveillance that facilitate and encourage control of human bodies, while solidifying demands for standardization around neoliberal values of enhancement and optimization. I also argue that body-tracking devices reinforce and normalize the scrutiny of human bodies in ways that may reproduce and advance longstanding gender disparities in detriment of women.

Implications: A responsible conceptualization, design, implementation, and usage of health-tracking technologies requires us to recognize and better understand how technologies with widely touted benefits also have the potential to reinforce and extend inequalities, alter subjective experiences and produce damaging outcomes, especially among certain groups. I conclude by proposing some alternatives for devising technologies or encouraging practices that are sensitive to these differences and acknowledge the validity of alternative values.

Purpose: This chapter examines how healthcare technologies (electronic medical records, personal cell phones, and pagers) help manage patient care work to accelerate processes of communication and blur boundaries between work time and non-work time, thereby revealing dynamics of power as indicated through temporal capital, or the amount of time under an individual’s control.

Method: The data were collected from 35 in-depth semistructured interviews of health practitioners, which included 26 physicians, 7 nurses, and 2 administrators.

Findings: Communication technologies fulfill promises of temporal autonomy and efficiency, but not without cost, particularly as it intersects with organizational/institutional power structures and non-work-related social factors such as pre-existing technological literacy and proficiency. The blurring of work and non-work time gives practitioners perceived higher quality of life while also increasing temporal flexibility and autonomy. The higher up one is in the relevant hierarchy, the more control one has over one’s own time, resulting in higher levels of temporal capital. The power hierarchies serve to complicate the potential recuperation of temporal capital by communication technologies.

Implications: This study uses a critical cultural perspective that takes into consideration structures of institutional power hierarches impact temporal organization through the use of communication technologies by health practitioners. Practitioner-facing research is particularly crucial given the high rates of burnout within the profession and concerns around the well-being of health practitioners, and autonomy and control over one’s time is a factor in work and life satisfaction.

The COVID-19 pandemic stressed the health care sector's longstanding pain points, including the poor quality of frontline work and the staffing challenges that result from it. This has renewed interest in technology-centered approaches to achieving not only the “Triple Aim” of reducing costs while raising access and quality but also the “Quadruple Aim” of doing so without further squeezing wages and abrading job quality for frontline workers.

How can we leverage technology toward the achievement of the Quadruple Aim? I view this as a “grand challenge” for health care managers and policymakers. Those looking for guidance will find that most analyses of the workforce impact of technological change consider broad classes of technology such as computers or robots outside of any particular industry context. Further, they typically predict changes in work or labor market outcomes will come about at some ill-defined point in the medium to long run. This decontextualization and detemporization proves markedly problematic in the health care sector: the nonmarket, institutional factors driving technology adoption and implementation loom especially large in frontline care delivery, and managers and policymakers understandably must consider a well-defined, near-term, i.e., 5–10-year, time horizon.

This study is predicated on interviews with hospital and home health agency administrators, union representatives, health care information technology (IT) experts and consultants, and technology developers. I detail the near-term drivers and anticipated workforce impact of technological changes in frontline care delivery. With my emergent prescriptions for managers and policymakers, I hope to guide sectoral actors in using technology to address the “grand challenge” inherent to achieving the Quadruple Aim.

Digitization is the process of transforming analog systems into digital ones, and it has become a crucial factor in the sustainable development of emerging economies. Although implementing digitization may be challenging due to limited budgets, missing strategies, pushback from employees, and the existing organizational structure, it can bring multifaceted benefits to the economy, such as improved employment and income, enhanced access to knowledge and education, and reduced costs for companies and countries. Moreover, digitization can significantly impact economic growth, as it can create new job opportunities, foster innovation, and improve infrastructure, among other benefits. The United Nations Sustainable Development Goals (SDGs) provide a global agenda for creating a more sustainable, equitable, and prosperous future by 2030, and digital technologies have become increasingly important in addressing the challenges of achieving these goals, particularly for emerging economies. However, achieving these ambitious goals presents significant challenges, particularly for emerging economies. Hence, this literature review aims to discuss the potential impact of digital technologies on the implementation of the SDGs in emerging economies, supported by scholarly research and opinions. In conclusion, digital technologies have significant potential to contribute to the achievement of the SDGs by promoting economic growth and innovation while also promoting sustainability, creating a more prosperous and equitable world for all.

Purpose – This chapter examines the impact of technology on sustainable effectiveness by focusing on the dynamic synchronization between the technical and the social subsystems at the Villa Beretta Rehabilitation Hospital (VBRH) and illustrates that technology can trigger and enable sustainable health care organizations.

Design/methodology/approach – The case study of VBRH relies on several data sources. They include interviews with key informants (VBRH executives, health care professionals, and technology suppliers), follow-up e-mails and phone conversations, direct observations of actors’ behavior, and notes of processes in action and archival data, such as patient pathway protocols, technical information systems documentation, performance and managerial reports, and administrative guidelines.

Findings – VBRH was capable to dynamically synchronize the social subsystem with the continuous innovation of the technical subsystem. This capability enabled sustainable effectiveness in three main areas. First, the correct alignment between technology and professionals’ practices and behaviors improved triple-bottom-line performance by promoting a more conscious use of the environmental, social, and financial resources. Second, technology-based initiatives promoted research-oriented plans of action that nurtured a culture of change and continuous improvement. Third, technology facilitated the extension of the research and operation networks that generated new ideas and initiatives for achieving sustainable effectiveness. Additionally, evidence from VBRH demonstrated that organization design, change management, and learning mechanisms are essential when institutionalizing new technology that requires the disruption of current professional practices and individuals’ behavior.

Originality/value – Previous contributions about sustainable effectiveness in health care failed to unveil and frame the complexity of dynamic synchronization between the technical and the social subsystems that is at the core of the sustainability of health care delivery. This chapter provides new insights that pave the way for a deeper-level understanding of the role that technology plays in sustainable effectiveness dynamics and outcomes in health care delivery. The chapter illustrates how different groups of technology contribute to sustainable effectiveness and the mechanisms that make them work.

Key enabling technologies (KETs) are a set of six technological components that work together to address social challenges and build advanced for sustainable economies. Industry 5.0, the next industrial development, is designed to capitalize on specialists' unique creativity while also collaborating with powerful, intelligent, and precise technologies. Industry 5.0 outsourced repetitive and monotonous activities to robots/machines requiring employees to perform activities that involve critical thinking and are based on the 6R (Recognize, Reconsider, Realize, Reduce, Reuse, and Recycle), to improve production quality. With numerous supporting technical advancements, advanced and quick manufacturing concentrating on the interaction of machines and humans may be produced. Maintaining healthcare and nursing care, evaluating patients' health requirements using KETs, and giving care with manpower are all major advancements in Industry 5.0 today. Future studies may focus on providing healthcare using mainly technology and, therefore, no human workers. This chapter highlights healthcare advances in Industry 5.0, where KETs and people collaborate to create and innovate. In this framework, the purpose of this chapter is to present the deployment of KETs in the nursing patient care process.

The use of information and communication technologies has become widespread in the field of health as well as in all fields. While the intensive use of these technologies increases the productivity of the employees, on the other hand, it may cause negative effects on the employee such as stress, anxiety, anger, burnout, and addiction. In scientific studies, the use of technology is commonly related with saving time, labor, financial resources, effective, efficient, and quality service; however, there are limited studies focusing on the technostress factors in the health field brought by technological transfer and digital transition. These technostress factors are techno-overload, techno-invasion, techno-confusion, techno-insecurity, and techno-uncertainty. In this study, it is emphasized that technostress causes important mental problems such as productivity and burnout, especially for female health employees. This chapter aims to discuss the role of technostress and its factor, theoretically, in the healthcare field in perspective of digital transition.

Purpose – The aim of this paper is to examine the diffusion of a new surgical procedure with lower per-case cost and how its diffusion path is affected by the simultaneous introduction of a new drug class that may be an effective treatment to prevent surgery. In particular, we examine whether a process of technology substitution exists that influences the diffusion process of the surgical technology. Given their different cost implications, the interaction of these two different technologies, surgery and drug intervention, is relevant from the perspective of health expenditure. This is of particular interest in health care as technology adoption and diffusion has been cited as a major driver of expenditure growth. Such expenditure growth has been increasingly targeted through the use of market-orientated policy tools aimed at increasing efficiency. Our research is thus addressing the question of how economic incentives influence the diffusion process and we discuss the impact of a set of incentives on hospital behavior.

Design/methodology – Hospital admission data for the financial years 1998/1999 to 2007/2008 in England are used to empirically test the contribution of prescription uptake and market-oriented reforms. Dynamic panel data models are used to capture any changes in technology preference during the period of study.

Findings – Our results suggest that the hospital sector exhibits a strong new technology preference, tempered by the interaction of competition for patients and the ability of the primary care sector to substitute treatments.

Value/originality – Given the current fast technological change, we examine the technological race occurring in the health care sector. We account simultaneously for the diffusion of different technologies not only within the same typology but also with technologies of a different class.

Purpose – This chapter discusses the relationship between health insurance and hospitals’ decisions to adopt medical technologies. I focus on both how the extent of insurance coverage can increase incentives to adopt new treatments, and how the parameters of the insurance contract can impact the types of treatments adopted.

Methodology/approach – I provide a review of the previous theoretical and empirical literature and highlight evidence on this relationship from previous expansions of Medicaid eligibility to low-income pregnant women.

Findings – While health insurance has important effects on individual-level choices of health care consumption, increases in the fraction of the population covered by insurance has also been found to have broader supply side effects as hospitals respond to changes in demand by changing the type of care offered. Furthermore, hospitals respond to the design of insurance contracts and adopt more or less cost-effective technologies depending on the incentive system.

Research limitations/implications – Understanding how insurance changes supply side incentives is important as we consider future changes in the insurance landscape.

Originality/value of paper – With these previous findings in mind, I conclude with a discussion of how the Affordable Care Act may alter hospital technology adoption incentives by both expanding coverage and changing payment schemes.