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Diabetes Digital Health, Telehealth, and Artificial Intelligence

Diabetes Digital Health, Telehealth, and Artificial Intelligence
Author: David C. Klonoff
Publisher: Elsevier
Total Pages: 406
Release: 2024-06-21
Genre: Medical
ISBN: 0443132437
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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 and Telehealth

Diabetes Digital Health and Telehealth
Author: David C. Klonoff
Publisher: Academic Press
Total Pages: 340
Release: 2022-08-05
Genre: Medical
ISBN: 0323906761
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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

AI-First Healthcare

AI-First Healthcare
Author: Kerrie L. Holley
Publisher: "O'Reilly Media, Inc."
Total Pages: 222
Release: 2021-04-19
Genre: Business & Economics
ISBN: 1492063126
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AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application

Diabetes Digital Health

Diabetes Digital Health
Author: David C. Klonoff
Publisher: Elsevier
Total Pages: 311
Release: 2020-04-04
Genre: Medical
ISBN: 0128174862
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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

Digital Health Transformation with Blockchain and Artificial Intelligence

Digital Health Transformation with Blockchain and Artificial Intelligence
Author: Chinmay Chakraborty
Publisher: CRC Press
Total Pages: 370
Release: 2022-05-10
Genre: Computers
ISBN: 1000580946
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The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396
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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Digital Health

Digital Health
Author: Homero Rivas
Publisher: Springer Nature
Total Pages: 216
Release: 2023-02-13
Genre: Medical
ISBN: 3031176669
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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.

Handbook on Augmenting Telehealth Services

Handbook on Augmenting Telehealth Services
Author: Sonali Vyas
Publisher: CRC Press
Total Pages: 301
Release: 2024-01-26
Genre: Technology & Engineering
ISBN: 1003825648
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Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.

Mobile Health (mHealth)

Mobile Health (mHealth)
Author: Kota Kodama
Publisher: Springer Nature
Total Pages: 283
Release: 2022-10-18
Genre: Medical
ISBN: 9811942307
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This book examines the current status of mHealth development, regulations and the social background in Japan, South Korea and China, comparing it to the situation in the United States and the European Union and consider solutions to issues surrounding mHealth. The recent progress in mobile technology, represented by smartphones and smart watches, has been remarkable. A service called mobile health (mHealth), which uses such mobile technology to manage health, is also becoming a reality. Although the accuracy of medical devices is not as accurate as those used in medicine, the biometric information such as heart rate and SpO2 can already be monitored over a long period of time. Although the technology is maturing to the point where it can be implemented in society, it remains an unapproved service of medical care in most countries. The development and social implementation of mHealth is most active in the US, but social implementation is gradually progressing in other countries as well. In this book, we will first discuss what kind of global and harmonized regulations are desirable by comparing the regulatory reforms necessary for social implementation of mHealth. In addition, mHealth raises privacy concerns in the US because the usual behavior and biometric information of subjects is utilized by private companies. In addition, it is important to note that the behavior and biometric information of subjects collected by smart devices is automatically analyzed by AI technology, mainly machine learning, which makes the analysis a black box.

Digital Health

Digital Health
Author: Shabbir Syed-Abdul
Publisher: Elsevier
Total Pages: 234
Release: 2020-11-14
Genre: Science
ISBN: 0128200782
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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