Diabetes Digital Health And Telehealth

Diabetes Digital Health and Telehealth explains, from technologic, economic and sociologic standpoints how digital health and telehealth have come to dominate the management of diabetes. The book also includes information on improved telemedicine tools and platforms for communicating with patients, reviewing medical records, and interpreting data from wearable devices. In addition, evolving wearable sensors such as continuous glucose monitors, closed loop automated insulin delivery systems, cuffless blood pressure monitors, exercise monitors and smart insulin pens are covered. Covers advances in the fields of digital health and telehealth, including research methods, relevant types of evidence, and viable endpoints for assessing the clinical and economic benefits of digital health and telehealth for diabetes Discusses improved telemedicine tools and platforms for communicating with patients, reviewing medical records and interpreting data from wearable devices Analyzes information gaps, research methods, relevant types of evidence, and viable endpoints for assessing the clinical and economic benefits of digital health and telehealth for diabetes

Diabetes Digital Health, Telehealth, and Artificial Intelligence explains how to develop and use the emerging technologies of digital health, telehealth, and artificial intelligence to address this important public health problem to deliver new hardware, software, and processes. The book explores trends in developing and deploying the three most important emerging technologies for diabetes: digital health, telehealth, and artificial intelligence. This book is essential to clinicians, scientists, engineers, industry professionals, regulators, and investors, offering the tools that will be used to create the next generation products to support a precision medicine approach to manage diabetes. According to the CDC, in the US there are 37 million people with diabetes and 96 million people with prediabetes. Diabetes triples the risk of myocardial infarction and stroke and is the leading cause of blindness, end stage renal failure, and amputations. The management of diabetes is becoming increasingly dominated by digital health tools consisting of wearable sensors, mobile applications providing decision support software, and wireless communication tools. Digital health provides new data streams that can be combined to create unique approaches for diabetes based on a precision medicine paradigm. Includes Artificial intelligence (AI) data for the prediction, diagnosis, treatment, and prognostication for diabetes as a model disease Describes the most important issues of our time that comprise the most important technologies currently being applied to diabetes Presented in a consistent easy to help those new to the field understand and compare/contrast various elements of digital health, telehealth, and artificial intelligence for diabetes

Diabetes Digital Health brings together the multifaceted information surrounding the science of digital health from an academic, regulatory, industrial, investment and cybersecurity perspective. Clinicians and researchers who are developing and evaluating mobile apps for diabetes patients will find this essential reading, as will industry people whose companies are developing mobile apps and sensors. Provides valuable information for clinicians, researchers and industry about the design and evaluation of patient-facing diabetes adherence technologies Highlights cutting-edge topics that are presented and discussed at the Digital Diabetes Congress

In 1996, the Institute of Medicine (IOM) released its report Telemedicine: A Guide to Assessing Telecommunications for Health Care. In that report, the IOM Committee on Evaluating Clinical Applications of Telemedicine found telemedicine is similar in most respects to other technologies for which better evidence of effectiveness is also being demanded. Telemedicine, however, has some special characteristics-shared with information technologies generally-that warrant particular notice from evaluators and decision makers. Since that time, attention to telehealth has continued to grow in both the public and private sectors. Peer-reviewed journals and professional societies are devoted to telehealth, the federal government provides grant funding to promote the use of telehealth, and the private technology industry continues to develop new applications for telehealth. However, barriers remain to the use of telehealth modalities, including issues related to reimbursement, licensure, workforce, and costs. Also, some areas of telehealth have developed a stronger evidence base than others. The Health Resources and Service Administration (HRSA) sponsored the IOM in holding a workshop in Washington, DC, on August 8-9 2012, to examine how the use of telehealth technology can fit into the U.S. health care system. HRSA asked the IOM to focus on the potential for telehealth to serve geographically isolated individuals and extend the reach of scarce resources while also emphasizing the quality and value in the delivery of health care services. This workshop summary discusses the evolution of telehealth since 1996, including the increasing role of the private sector, policies that have promoted or delayed the use of telehealth, and consumer acceptance of telehealth. The Role of Telehealth in an Evolving Health Care Environment: Workshop Summary discusses the current evidence base for telehealth, including available data and gaps in data; discuss how technological developments, including mobile telehealth, electronic intensive care units, remote monitoring, social networking, and wearable devices, in conjunction with the push for electronic health records, is changing the delivery of health care in rural and urban environments. This report also summarizes actions that the U.S. Department of Health and Human Services (HHS) can undertake to further the use of telehealth to improve health care outcomes while controlling costs in the current health care environment.

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

The Covid-19 pandemic prompted healthcare systems around the globe to quickly explore and subsequently adopt digital health technologies and virtual care models that had been slowly growing in mainstream acceptance throughout the decade prior. In particular, telemedicine use skyrocketed as healthcare organizations and governments needed to provide access to infection risk-free health services. Telemedicine has been around in its current form for nearly two decades but grew significantly in utilization after the rapid acceleration of internet and smartphone adoption in the 2010s, and again in 2020 due to Covid-19. Beyond traditional audio-visual telemedicine modalities, newer, more advanced models of tech-enabled clinical services have begun to gain popularity. Fueled by ubiquitous modern telecommunication technologies (e.g., the Smartphone), a growing dissatisfaction with healthcare services among patients, and increasing chronic disease epidemics in developed countries, models like remote patient monitoring (RPM) and other hybrid virtual care models have entered the clinical toolbox. RPM-based care models can fill the gaps of transactional telemedicine in order to deliver longitudinal care appropriate for patients with chronic conditions. Despite the apparent recent acceleration of interest in and adoption of RPM-based virtual care models, substantial research exists on RPM covering patient reported outcomes, clinical effectiveness, and economic factors. In A Virtual Care Blueprint: How Digital Health Technologies Can Improve Health Outcomes, Patient Experience, and Cost-Effectiveness, Robert L. Longyear III explores the science, frontline clinical perspectives, and potential impact of RPM-based virtual care programs. Seeking to provide evidence-based information on RPM and virtual care in a market flooded with marketing materials, Longyear provides healthcare leaders, clinicians, and policymakers a clear outline of these increasingly important care models for a modern healthcare delivery system.

This extensively updated second edition describes the increasing use of digital health technologies. It reflects and describes the scenario that healthcare consumers and providers have realized the potential of digital health technologies in light of the recent global healthcare issues, such as the COVID-19 pandemic. Smartphones have become a medical hub through which patients can connect with their medical practitioners and share their vital signs collected through wearables. Concurrently, consumer mobile health apps have shifted from providing generic functionalities to supporting specific diseases such as hypertension, diabetes and cancer. Advancements in digital healthcare have also assisted clinicians, who have relied on artificial intelligence-based applications to support their decision-making. The extent to which digital health has advanced, and is being used by medical professionals and patients, is at the core of this book. Digital Health: From Assumptions to Implementations addresses the emerging trends and enabling tools contributing to technological advances in 21st Century healthcare practice. These areas include generic topics such as mobile health and telemedicine, as well as specific concepts such as social media for health, wearables and quantified-self trends. Also covered are the psychological models leveraged in the design of solutions to persuade us to follow some recommended actions, the design and educational facets of the proposed innovations, as well as ethics, privacy, security and liability aspects influencing its acceptance. Furthermore, sections on economic aspects of the proposed innovations are included, analyzing the potential business models and entrepreneurship opportunities in the domain.

"An engaging introduction to an exciting multidisciplinary field where positive impact depends less on technology than on understanding and responding to human motivations, specific information needs, and life constraints." -- Betsy L. Humphreys, former Deputy Director, National Library of Medicine This is a book for people who want to design or promote information technology that helps people be more active and informed participants in their healthcare. Topics include patient portals, wearable devices, apps, websites, smart homes, and online communities focused on health. Consumer Healthcare Informatics: Enabling Digital Health for Everyone educates readers in the core concepts of consumer health informatics: participatory healthcare; health and e-health literacy; user-centered design; information retrieval and trusted information resources; and the ethical dimensions of health information and communication technologies. It presents the current state of knowledge and recent developments in the field of consumer health informatics. The discussions address tailoring information to key user groups, including patients, consumers, caregivers, parents, children and young adults, and older adults. For example, apps are considered as not just a rich consumer technology with the promise of empowered personal data management and connectedness to community and healthcare providers, but also a domain rife with concerns for effectiveness, privacy, and security, requiring both designer and user to engage in critical thinking around their choices. This book’s unique contribution to the field is its focus on the consumer and patient in the context of their everyday life outside the clinical setting. Discussion of tools and technologies is grounded in this perspective and in a context of real-world use and its implications for design. There is an emphasis on empowerment through participatory and people-centered care.