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Digital health encompasses a broad array of tools and strategies with the goals of advancing research, increasing health care access and quality, and making care more personalized. It encompasses health content, digital health interventions, and digital applications, such as communication tools connecting patients and clinicians (e.g., secure email in the patient portal, text, chat, video visit), remote monitoring tools, clinical decision support tools, and systems for exchanging health information. Patient-facing tools, tools for clinicians, and systems to facilitate research and care improvement are all part of this diverse landscape, and each raises unique opportunities and potential challenges. To examine key policy issues for the effective and safe development, implementation, and use of digital health technologies in oncology research and care, the National Cancer Policy Forum of the National Academies of Sciences, Engineering, and Medicine held a virtual workshop in collaboration with the Forum on Cyber Resilience. The workshop, Opportunities and Challenges for Using Digital Health Applications in Oncology, held on July 13-14, 2020, convened a broad group of experts, including clinicians and researchers; patient advocates; and representatives of federal agencies, health professional societies, health care organizations, insurers, and the pharmaceutical and health technology industries. Many workshop speakers found the opportunities presented by digital health tools to be particularly compelling for oncology; however, capitalizing on these opportunities necessitates careful attention to the design, implementation, and use of digital health technologies. This publication summarizes the presentations and discussions from the workshop.

Telecommunication in medicine. --- Digital Health. --- Telemedicine. --- Telecommunications --- Medical Oncology. --- Telecommunications.

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"Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare."--

Artificial intelligence --- Medicine --- Medical applications. --- Data processing --- Digital Health --- Artificial Intelligence --- Models, Theoretical --- Digital Health. --- Artificial Intelligence. --- Models, Theoretical.

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The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolution of the modern healthcare system into its final form—an AI-driven thinking healthcare system, structured and functioning as a global digital health ecosystem. Written by the world’s first triple doctorate trained physician-data scientist and ethicist, and author of three AI textbooks and over 350 scientific and ethics papers, this indispensable resource makes sense of how technology, economics, and ethics are already producing the future’s health system—and how to ensure it works for every patient, community, and culture in our globalized, digitalized, and divided world. Providing clear descriptions and concrete examples, this book brings together AI-accelerated digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural global ethics, blockchain, and quantum health computing, among other topics. Healthcare and business executives, clinicians, researchers, government leaders, policymakers, and students in the fields of healthcare management, data science, medicine, public health, informatics, health and public policy, political economics, and bioethics will find this book to be a groundbreaking resource on how to create, nourish, and lead AI-driven health systems for the future that can think, adapt, and so care in a manner worthy of the world’s patients.

Artificial intelligence --- Medical informatics. --- Medical applications. --- Medical ethics. --- Ethics, Medical --- Artificial Intelligence --- Medical Informatics --- Digital Health --- Ethics, Medical. --- Artificial Intelligence. --- Medical Informatics. --- Digital Health.

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It's time to discuss why strategy is important for modern healthcare data management, how strategy can create new business or upscale a business in healthcare data management, and how these tactics assist your business in gaining a competitive advantage. Cut through the frustration generated by the staggering amount of healthcare data currently being created, collected, and distributed--this book will teach you how.

Database management. --- Medical informatics. --- Healthcare. --- Digital health. --- Big data. --- Strategy. --- Healthcare data management. --- Startups. --- Ethics. --- Pandemic healthcare management. --- Data management. --- Strategic planning.

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Medicine, Chinese --- Alternative medicine --- Medical technology --- Medicine, Chinese Traditional. --- Technology, Medical. --- Medicine, Chinese. --- Medical technology. --- Alternative medicine. --- Complementary medicine --- Healing systems --- Systems, Healing --- Systems, Therapeutic --- Therapeutic systems --- Medicine --- Integrative medicine --- Health care technology --- Health technology --- Technology --- Chinese medicine --- TCM (Medicine) --- Traditional Chinese medicine --- Chinese Traditional Medicine --- Traditional Chinese Medicine --- Traditional Tongue Assessment --- Traditional Tongue Diagnosis --- Chinese Medicine, Traditional --- Chung I Hsueh --- Traditional Medicine, Chinese --- Zhong Yi Xue --- Hsueh, Chung I --- Tongue Assessment, Traditional --- Tongue Diagnoses, Traditional --- Tongue Diagnosis, Traditional --- Traditional Tongue Assessments --- Traditional Tongue Diagnoses --- Acupuncture Therapy --- Medicine, Kampo --- Complementary Therapies. --- Technology. --- Arts, Industrial --- Industrial Arts --- Cloud Computing --- Alternative Therapies --- Therapy, Alternative --- Therapy, Complementary --- Alternative Medicine --- Complementary Medicine --- Medicine, Alternative --- Medicine, Complementary --- Therapies, Alternative --- Therapies, Complementary --- Medical Laboratory Science. --- Biomedical Technology. --- Complementary Therapies --- Digital Health. --- Medicine.