Health Applications

This book discusses IoT in healthcare and how it enables interoperability, machine-to-machine communication, information exchange, and data movement. It also covers how healthcare service delivery automates patient care with the help of mobility solutions, new technologies, and next-gen healthcare facilities with challenges faced and suggested solutions prescribed. Reinvention of Health Applications with IoT: Challenges and Solutions presents the latest applications of IoT in healthcare along with challenges and solutions. It looks at a comparison of advanced technologies such as Deep Learning, Machine Learning, and AI and explores the ways they can be applied to sensed data to improve prediction and decision-making in smart health services. It focuses on society 5.0 technologies and illustrates how they can improve society and the transformation of IoT in healthcare facilities to support patient independence. Case studies are included for applications such as smart eyewear, smart jackets, and smart beds. The book will also go into detail on wearable technologies and how they can communicate patient information to doctors in medical emergencies. The target audiences for this edited volume is researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.

Digital Health: Mobile and Wearable Devices for Participatory Health Applications is a key reference for engineering and clinical professionals considering the development or implementation of mobile and wearable solutions in the healthcare domain. The book presents a comprehensive overview of devices and appropriateness for the respective applications. It also explores the ethical, privacy, and cybersecurity aspects inherent in networked and mobile technologies. It offers expert perspectives on various approaches to the implementation and integration of these devices and applications across all areas of healthcare. The book is designed with a multidisciplinary audience in mind; from software developers and biomedical engineers who are designing these devices to clinical professionals working with patients and engineers on device testing, human factors design, and user engagement/compliance. Presents an overview of important aspects of digital health, from patient privacy and data security to the development and implementation of networks, systems, and devices Provides a toolbox for stakeholders involved in the decision-making regarding the design, development, and implementation of mHealth solutions Offers case studies, key references, and insights from a wide range of global experts

Smart health technologies continue to gain research interest across the globe in this digital era. Researchers are focusing on advancements in healthcare systems to make human life better. Also, such advancements help in early disease diagnosis and prevention of the worst diseases. Designing smart healthcare systems is possible only because of recent developments in artificial intelligence, machine learning and IoT technologies. Though mHealth refers to all mobile devices which can communicate data, mobile phones are presently the most popular platform for mHealth delivery. Ninety-four percent of the world population owns/uses a mobile phone, making mobile phones an optimal delivery platform for mHealth interventions. mHealth may catalyse the healthcare delivery model from a historical/episodic model into a tangible/patient-centric model. mHealth is being viewed progressively by many as an essential technology metaphor to achieve rich, vigorous patient engagement, ultimately achieving a patient-centric paradigm change.This book will discuss diverse topics to explain the rapidly emerging and evolving mobile health and artificial perspective, the emergence of integrated platforms and hosted third-party tools, and the development of decentralized applications for various research domains. It presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of as well as the hindrances to mHealth. The wide variety in topics it presents offers readers multiple perspectives on a variety of disciplines.The aim of this edited book is to publish the latest research advancements in the convergence of automation technology, artificial intelligence, biomedical engineering and health informatics. This will help readers to grasp the extensive point of view and the essence of recent advances in this field. This book solicits contributions which include theory, case studies and computing paradigms pertaining to healthcare applications. The prospective audience would be researchers, professionals, practitioners, and students from academia and industry who work in this field. We hope the chapters presented will inspire future research from both theoretical and practical viewpoints to spur further advances in the field. A brief introduction about each chapter follows. Chapter 1 focuses on the role of Internet of Things (IoT) technologies in healthcare which provides an overview of the various types of IoT devices and data generating equipment for medical information.In Chapter 2, the objective is to provide a brief discussion about the advantages and disadvantages of using IoT based technologies in healthcare such as wearable devices. Chapter 3 deals with important aspects of data science for healthcare systems, which includes various algorithms for decision support system algorithms. Chapter 4 discusses various innovative technologies like digital twins for healthcare and medical diagnosis.Chapter 5 discusses research investigating the long-term effects of pregnancy and lactation on the female body.Chapter 6 summarizes recent advances in machine and deep learning techniques for smart healthcare applications.Chapter 7 explores the research insights on using an artificial neural network with a wrapper-based feature selection to predict heart failure.Chapter 8 presents a review on context-aware mobile healthcare for smart health services in nursing homes.Chapter 9 focuses on certain machine learning methods that can help in early prediction of pandemics.Chapter 10 explores techniques and methods based on machine learning for malaria diagnosis.Chapter 11 is a complete discussion about mobile health technology to improve health-related quality of life of chronic disease patients in emerging economies.We are grateful to the authors and reviewers for their excellent contributions for making this book possible.

Mobile Health Applications for Quality Healthcare Delivery explores the emergence of mHealth in the healthcare setting and examines its impact on patient-centered care, including how it has reshaped access, quality, and treatment.

Adaptive Health Management Information Systems, Fourth Edition is a thorough resource for a broad range of healthcare professionals–from informaticians, physicians and nurses, to pharmacists, public health and allied health professionals–who need to keep pace the digital transformation of health care. Wholly revised, updated, and expanded in scope, the fourth edition covers the latest developments in the field of health management information systems (HMIS) including big data analytics and machine learning in health care; precision medicine; digital health commercialization; supply chain management; informatics for pharmacy and public health; digital health leadership; cybersecurity; and social media analytics.

Informatics and technology have long been indispensable to the provision of healthcare and their importance continues to grow in this field. This book presents the 65 full papers presented at the 13th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2015), held in Athens, Greece, in July 2015. The conference attracts scientists and practitioners from all continents and treats the field of biomedical informatics in a very broad framework, examining the research and applications outcomes of informatics from cell to population, and covering a number of technologies such as imaging, sensors and biomedical equipment as well as management and organizational subjects such as legal and social issues. The conference also aims to set research priorities in health informatics. This overview of current research and development will be of interest to all those whose work involves the use of biomedical informatics in the planning, provision and management of healthcare.

"This book gives detailed analysis of the technology, applications and uses of mobile technologies in the healthcare sector by using case studies to highlight the successes and concerns of mobile health projects"--Provided by publisher.

This book provides a practically applicable guide to designing evidence-based medical apps and mHealth interventions. It features detailed guidance and case studies where applicable on the best practices and available techniques from both technological (platform technologies, toolkits, sensors) and research perspectives. This approach enables the reader to develop a deep understanding of how to collect the appropriate data and work with users to build a user friendly app for their target audience. Information on how researchers and designers can communicate their intentions with a variety of stakeholders including medical practitioners, developers and researchers to ensure the best possible decisions are made during the development process to produce an app of optimal quality that also considers usability. Developing Medical Apps and mHealth Interventions comprehensively covers the development of medical and health apps for researchers, informaticians and physicians, and is a valuable resource for the experienced professional and trainee seeking a text on how to develop user friendly medical apps.

"This book offers a comprehensive and integrated approach to telemedicine by collecting E-health experiences and applications from around the world and by exploring new developments and trends in medical informatics"--

Smartphone Apps for Health and Wellness helps readers navigate the world of smartphone apps to direct them to those which have had the best medical evidence in obtaining the users’ goal. The book covers the history of apps, how they work, and specific apps to improve health and wellness in order to improve patients outcomes. It discusses several types of apps, including apps for medical care, sleeping, relaxation, nutrition, exercise and weight loss. In addition, sections present the features of a good app to empower readers to make their own decision when evaluating which one to use. This is a valuable resource for clinicians, physicians, researchers and members of biomedical field who are interested in taking advantage of smartphone apps to improve overall health and wellness of patients. Summarizes smartphone apps with the best evidence to improve health and wellness Discusses the most important features of an app to help readers evaluate which app is appropriate for their specific needs Presents the typical results expected when regularly using an app in order to assist healthcare providers in predicting patient outcomes