The promise and prospects for mobile technologies in healthcare service delivery—particularly as experienced by patients and other users—are the focus of this forward-looking volume. Its detailed sociotechnical perspective takes in factors influencing patient and provider adoption of technological advances, in addition to the well-known cost and accessibility advantages. Enlightening reports show mobile health technologies in multiple contexts as an impetus for behavioral change, a means of monitoring health changes, a growing trend in service delivery, and an emerging health frontier worldwide. Together, these chapters point to the continued expansion—and global reach—of mobile technology in the next stage of healthcare services. Included in the coverage: Behavior change techniques used in mobile applications targeting physical activity: a systematic review Mobile health integration in pregnancy Unintended users, uses, and consequences of mobile weight loss apps: using eating disorders as a case study Intention vs. perception: understanding the differences in physicians’ attitudes towards mobile health applications HealthGuide: a personalized mobile patient guidance system Adoption of sensors in mobile health Current and Emerging mHealth Technologies is salient reading for researchers interested in mobile health development and implementation as well as technology adoption, and mobile health system developers and managers who are interested in the implications of mobile health use by patients and/or healthcare professionals. It can also be used for courses in technology adoption and health technologies.

Health is regarded as one of the global challenges for mankind. Healthcare is a complex system that covers processes of diagnosis, treatment, and prevention of diseases. It constitutes a fundamental pillar of the modern society. Modern healthcare is technological healthcare. Technology is everywhere. This book focuses on twenty-one emerging technologies in the healthcare industry. An emerging technology is one that holds the promise of creating a new economic engine and is trans-industrial. Emerging technological trends are rapidly transforming businesses in general and healthcare in particular in ways that we find hard to imagine. Artificial intelligence (AI), machine learning, robots, blockchain, cloud computing, Internet of things (IoT), and augmented & virtual reality are some of the technologies at the heart of this revolution and are covered in this book. The convergence of these technologies is upon us and will have a huge impact on the patient experience

This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.

The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve the services given by the healthcare industry and to bring meaningful patient outcomes by applying the data, information and knowledge in the healthcare domain. Features: Improves the quality of health data of a patient Presents a wide range of opportunities and renewed possibilities for healthcare systems Gives a way for carefully and meticulously tracking the provenance of medical records Accelerates the process of disease-oriented data and medical data arbitration Brings meaningful patient health outcomes Eradicates delayed clinical communications Helps the research intellectuals to step down further toward the disease and clinical data storage Creates more patient-centered services The precise focus of this handbook is on the potential applications and use of data informatics in healthcare, including clinical trials, tailored ailment data, patient and ailment record characterization and health records management.

Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies. This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects. The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.

Digital health is the convergence of digital technologies with health to enhance the efficiency of healthcare delivery and make healthcare more personalized and precise. These technologies generally focus on the development of interconnected health systems to improve the use of computational technologies, smart devices, computational analysis techniques, and communication media to help healthcare professionals and their patients manage illnesses and health risks, as well as promote health and well-being. Digital tools play a central role in the most promising future healthcare innovations and create tremendous opportunities for a more integrated and value-based system along with a stronger focus on patient outcomes, and as such, having access to the latest research findings and progressions is of paramount importance. Digital Therapies in Psychosocial Rehabilitation and Mental Health introduces the latest digital innovations in the mental health field and points out new ways it can be used in patient care while also delving into some of the limits of its application. It presents a comprehensive state-of-the-art approach to digital mental health technologies and practices within the broad confines of psychosocial and mental health practices and also provides a canvas to discuss emerging digital mental health solutions, propelled by the ubiquitous availability of personalized devices and affordable wearable sensors and innovative technologies such as virtual and augmented reality, mobile apps, robots, and intelligent platforms. It is ideal for medical professors and students, researchers, practitioners of healthcare companies, managers, and other professionals where digital health technologies can be used.

M-health can be defined as the ‘emerging mobile communications and network technologies for healthcare systems.' This book paves the path toward understanding the future of m-health technologies and services and also introducing the impact of mobility on existing e-health and commercial telemedical systems. M-Health: Emerging Mobile Health Systems presents a new and forward-looking source of information that explores the present and future trends in the applications of current and emerging wireless communication and network technologies for different healthcare scenaria. It also provides a discovery path on the synergies between the 2.5G and 3G systems and other relevant computing and information technologies and how they prescribe the way for the next generation of m-health services. The book contains 47 chapters, arranged in five thematic sections: Introduction to Mobile M-health Systems, Smart Mobile Applications for Health Professionals, Signal, Image, and Video Compression for M-health Applications, Emergency Health Care Systems and Services, Echography Systems and Services, and Remote and Home Monitoring. This book is intended for all those working in the field of information technologies in biomedicine, as well as for people working in future applications of wireless communications and wireless telemedical systems. It provides different levels of material to researchers, computing engineers, and medical practitioners interested in emerging e-health systems. This book will be a useful reference for all the readers in this important and growing field of research, and will contribute to the roadmap of future m-health systems and improve the development of effective healthcare delivery systems.

In the ever-evolving landscape of maternal healthcare, expectant mothers face a myriad of challenges, from pregnancy complications to postpartum care. Traditional approaches often fail to provide timely and personalized interventions, leading to suboptimal outcomes for both mother and child. The lack of practical tools and strategies to address these complexities underscores the pressing need for innovative solutions that can revolutionize maternal care. Modernizing Maternal Care With Digital Technologies leads the way, offering a comprehensive solution that harnesses the power of modern technology and soft computing techniques to foster environments that improve maternal patient outcomes. This pioneering book delves into the transformative role of artificial intelligence (AI), data analytics, and wearable devices in reshaping maternal care. The book presents a paradigm shift in how expectant mothers can be supported throughout their pregnancy journey by highlighting the significance of predictive modeling and real-time monitoring.

Combining conceptual, pragmatic and operational approaches, this edited collection addresses the demand for knowledge and understanding of IT in the healthcare sector. With new technology outbreaks, our vision of healthcare has been drastically changed, switching from a ‘traditional’ path to a digitalized one. Providing an overview of the role of IT in the healthcare sector, The Digitization of Healthcare illustrates the potential benefits and challenges for all those involved in delivering care to the patient. The incursion of IT has disrupted the value chain and changed business models for companies working in the health sector, and also raised ethical issues and new paradigms about delivering care. This book illustrates the rise of patient empowerment through the development of patient communities such as PatientLikeMe, and medical collaborate platforms such as DockCheck, thus providing a necessary tool to patients, caregivers and academics alike.

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.