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Psychiatry --- Neurosciences --- Digital Health --- Digital Technology
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Digital Transformation in Healthcare in Post-Covid19 Times discusses recent advances in patient care and offers critical comparative insights into their application across multiple domains in healthcare. By showcasing key problems, best practices and emerging challenges, the book offers a state-of-art review of opportunities and prospects in the process of delivering smart sustainable healthcare services. Topics discussed include healthcare challenges in the post-COVID-19 era, enabling technologies for digital transformation, value driven approaches to the delivery of patient centric top-quality health services, and analytics and enhanced decision making. In addition, the book updates knowledge on best practices for training towards digital transformation and sustainable health.
Medical care --- Digital Health --- Delivery of Health Care --- Technological innovations.
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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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Roadmap to Successful Digital Health Ecosystems: A Global Perspective presents evidence-based solutions found on adopting open platforms, standard information models, technology neutral data repositories, and computable clinical data and knowledge (ontologies, terminologies, content models, process models, and guidelines), resulting in improved patient, organizational, and global health outcomes. The book helps engaging countries and stakeholders take action and commit to a digital health strategy, create a global environment and processes that will facilitate and induce collaboration, develop processes for monitoring and evaluating national digital health strategies, and enable learnings to be shared in support of WHO’s global strategy for digital health.
Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Data processing --- Digital Health --- Medical Informatics --- Digital Health. --- Medical Informatics.
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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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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
wearables --- data analysis --- personalized medicine --- monitoring --- sensor --- biofeedback --- innovation --- digital health
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AI in Clinical Practice: A Guide to Artificial Intelligence and Digital Medicine explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting. This is a valuable resource for clinicians, researchers, students and members of the biomedical and medical fields who want to learn more about the use of AI to improve patient care.
Artificial intelligence --- Medical informatics. --- Medical applications. --- Artificial Intelligence --- Virtual Reality --- Mobile Applications --- Medical Informatics --- Digital Health --- Clinical Medicine --- Deep Learning --- Artificial Intelligence. --- Digital Health. --- Clinical Medicine. --- Deep Learning. --- Medical Informatics.
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Diabetes Mellitus. --- Diabetes Insipidus --- Glucose Intolerance --- diabetes --- endocrinology --- digital health --- medical informatics --- biomedical engineering --- Pathological endocrinology --- Diabetes --- Alternative treatment.
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Aging. --- Geriatrics. --- Aged. --- Elderly --- Geriatrics --- Longevity --- Gerontology --- Aging, Biological --- Biological Aging --- Senescence --- Mutation Accumulation --- digital health technology --- elderly populations --- ageing --- assisted living --- elder care --- Aging
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Oxford Open Digital Health is an Open Access journal that publishes methodologically rigorous evaluations, evidence reviews, study protocols and other policy-relevant research on Digital Health Interventions (DHIs) with a particular focus on Low and Middle-Income Countries (LMICs). The journal aims to provide a high-impact outlet for research that adds to the evidence-base of DHIs used to strengthen health systems, and accelerate progress towards universal health coverage. The journal encourages the submission of high-quality evaluations of DHIs involving a range of research approaches such as randomized controlled studies and implementation science research. In each case, to further replicability of the digital health interventions being deployed, we encourage a clear description of the design and technical features of the interventions, and where possible, direct inclusion of or reference to evidence on acceptability, gender, equity, ethical, legal and sociocultural implications.- We actively seek to identify and purposefully target gaps in the literature, such as the current dearth of rigorous costing and economic evaluations of digital health interventions. We support interdisciplinary research spanning the disciplines of engineering, computer science, public health and medicine, across all health areas. Negative or null results are also encouraged to be submitted. The journal aims to support the World Health Organization's (WHO) efforts to develop future Digital Health Guidelines, by encouraging the use of the WHO Classification of Digital Health Interventions and the mHealth Evidence Reporting and Assessment (mERA) guidelines. We also encourage authors to ensure their projects are registered with the WHO Digital Health Atlas.- With a view towards strengthening equity and inclusion in publication - we pledge to approach the amplification of local voices with intentionality, especially those that have been traditionally marginalized in peer-reviewed authorship due to language or economic barriers. Example areas of focus include, but are not exclusive to: National-scale program evaluations of DHIs in LMICs Impact assessments of DHIs at subnational scale Usability, Feasibility and Acceptability Studies of novel DHIs Evaluations of Applied Artificial Intelligence / Machine Learning Interventions to Improve Service Delivery and Health Promotion Innovations in Monitoring and Evaluation methodology for DH Implementation Challenges and Change Management of DHIs Economic evaluations / Scale-up Forecasting of DH Programs
Public health --- Medical care --- Medical informatics --- Data processing --- Delivery of health care --- Delivery of medical care --- Health care --- Health care delivery --- Health services --- Healthcare --- Medical and health care industry --- Medical services --- Personal health services --- Community health --- Hygiene, Public --- Hygiene, Social --- Public health services --- Public hygiene --- Social hygiene --- Health --- Human services --- Biosecurity --- Health literacy --- Medicine, Preventive --- National health services --- Sanitation --- Digital Health --- Medical Informatics --- Developing Countries --- Médecine --- Santé publique --- Soins médicaux --- Informatique --- Digital Health. --- Medical Informatics. --- Developing Countries.
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