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This chapter discusses about the advancement in the field of telemedicine and how often the general public are using the services that are provide by the telehealth and telemedicine market. This chapter starts with the introduction of the medicine in the world, which were the earliest medical practice and how all that thing leads to the today’s telehealth market. This chapter also describes the models that are being used in today’s world, and how these models as implemented and how telemedicine services are implemented more efficiently. Telemedicine and telehealth market is growing day by day and a lot people are getting to know about it, but there is still some section of the society, specially the lower middle class and the people in the rural areas that do not have any access or knowledge about the concept of telehealth services.

Telehealth has been playing a progressively significant role in the management of the COVID-19 crisis. The enforcement of social distancing measures has had the consequence of reduced technology distance in almost every walk of life. In this chapter, based primarily on the still-unfolding experiences of deploying it during the current situation, we argue that telehealth has finally come of age and that it is time to move it from the peripheries to the center of the twenty-first-century healthcare. To provide a live context to the discussion, several instances of how telehealth strengthened our healthcare systems during the COVID-19 crisis are presented.

This chapter advances understanding of how professional expertise is enacted and created to accomplish routines in the context of technology-mediated work. Information and communication technologies broaden the participation of professionals with various specialist skills and expertise to accomplish work together, which is particularly salient in health care. Broadening participation, however, creates jurisdictional conflict among professionals. Thus, a key challenge of interprofessional work is the need to mutually adapt established professional routines and overcome jurisdictional conflict to perform interdependent routine tasks. The authors examine how professionals adapt established routines by analyzing the new interactions and interdependent actions required to accomplish technology-mediated geriatric consultation routines. The findings of this study show that professionals create new patterns of actions that are shaped by relational forms of professional expertise, namely selective and blending expertise. The findings and theoretical insights contribute to the literature on routine dynamics by highlighting the importance of relational expertise, and showing how it can transform and destabilize otherwise established professional routines.

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.

This chapter provides an overview of the role of technology and policy in shaping care plans for patients. Historically, healthcare has lagged behind other industry sectors in adopting and deploying useful technologies, and policy surrounding use is an important component of establishing a long-term strategy. This chapter evaluates the current state of technology in the clinical setting and extends the widely adopted policy-based approaches into the palliative care context.

The COVID-19 pandemic imposed significant and abrupt lifestyle changes on the pediatric population. Major lifestyle changes that occur during children’s and adolescents’ vital developmental years have the potential to introduce stressors, which have both immediate and long-term effects on physical and mental health. The aspects of the COVID-19 pandemic that impacted pediatric mental health included school closures, quarantine, increases in screen time, changes to Labor & Delivery unit COVID-19 policies, and changes to the delivery of clinical mental health care, including telehealth. In addition, pediatric mental health was deeply impacted by the ongoing challenges to health equity associated with health disparities and racism as a health crisis. Pediatric mental health declined since the start of the pandemic, school closures and quarantine affected rates of food insecurity and physical activity levels, and the COVID-19 pandemic exacerbated pre-existing health disparities and mental health conditions among the pediatric population. Recommendations for building more resilient public health systems are explored.

In this book it was proposed that autistic females and African American autistics are usually not participants in autistic research because they rarely receive an autism diagnosis. If diagnostic services were made more congenial for autistics from these groups, then the prospect of them being diagnosed as autistic and being available to be research participants would increase. To help achieve this outcome, this chapter begins by presenting some typical barriers that autistics encounter when trying to access autism diagnostic services. This is followed by an explanation of some consequences of this exclusion for autistics, their families and the research community. In an attempt to mitigate these consequences, and to increase the pool of potential autistic candidates for research, this chapter concludes with a series of suggestions to improve the public's accessibility to autism diagnostic services as well as suggestions for improving the autism diagnostic process for both children and adults.

The contribution that this chapter makes to the field of autism spectrum research is to provide clinicians with some important concepts that will help autistics feel valued and accepted during the diagnostic process. A potential flow-on effect of this knowledge is that more autistics who have experienced feeling valued and accepted by clinicians will be more inclined to be involved in research.

This chapter demonstrates the ways in which digital inclusion functions as a super social determinant of health, particularly within the arena of family carework and healthcare for vulnerable disabled US communities. The focus on vulnerable populations, including the elderly, chronically ill, young disabled, neurodivergent, and/or medically complex children and the families that care for them, is a useful case to present a compelling argument for the need to take seriously digital inclusion to maximize health, safety, and well-being for growing populations of Americans today. The authors argue that digital inclusion is an increasingly influential social determinant of health and a key dimension of health equity that offers important benefits and potentials, especially for vulnerable patient populations, for whom in-home and family-centered care are necessary parts of health maintenance, prevention, and well-being. The chapter ends with a discussion of ways that the US government can mitigate digital barriers and facilitate equitable access to broadband internet and e-health resources that address the intersections of digital, health, and care inequalities, with significant impacts in all three dimensions.

Although healthcare and healthy living are integral to the Sustainable Development Goals (SDGs) for 2030, the coronavirus epidemic has dealt a devastating blow to these efforts. As governments and policymakers were compelled to shift their focus to lockdowns, sustenance, procurement, and distribution of vaccines, the momentum for health initiatives slowed, and the already fragile health systems of emerging markets were subjected to additional shocks. However, in many underserved regions of the globe, the introduction of technology has greatly facilitated the distribution and adoption of healthcare services.

This chapter highlights mini-cases from four emerging nations: Bangladesh, Nigeria, Vietnam, and the Philippines. Although the countries are emerging, each one of them are in a distinct stage of development and face a unique set of healthcare-related challenges. The chapter showcases how four different organizations based in these countries leveraged the use of technology to take healthcare services to underserved populations. In doing so, they addressed the key challenges of imparting healthcare: geographic accessibility, availability, financial accessibility, and acceptability.

This chapter concludes with a discussion of the implications of expanding healthcare industries leading to increased healthcare waste. To prevent mass population exposure to hazardous substances, the emergence of intelligent healthcare waste collection and disposal systems will be an absolute necessity. Hence, with the development of healthcare services, governments and policymakers need to mechanize smart waste management systems to safeguard humans, animals, and the environment.