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The Implications Of Artificial Intelligence And Machine Learning In Health Financing For Achieving Universal Health Coverage
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Book Synopsis The implications of artificial intelligence and machine learning in health financing for achieving universal health coverage by : World Health Organization
Download or read book The implications of artificial intelligence and machine learning in health financing for achieving universal health coverage written by World Health Organization and published by World Health Organization. This book was released on 2022-12-31 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Assessing the effects of digital technologies on health financing and Universal Health Coverage objectives by : World Health Organization
Download or read book Assessing the effects of digital technologies on health financing and Universal Health Coverage objectives written by World Health Organization and published by World Health Organization. This book was released on 2023-08-23 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital health is a rapidly expanding area of interest for both research, policy and practice, and within that area digital technologies (DTs) for health financing receive increasing attention. DTs can change the nature and business processes of health financing functions and tasks and modify the interactions between health financing actors. Depending on their design features and actual implementation as well as broader contextual factors, DTs can affect the health financing tasks and functions (positively or negatively). However, little robust evidence exists on the impact of DTs specifically on health financing and universal health coverage (UHC) objectives. More rigorous evaluations in this area is urgently needed. The aim of this guide is to support the evidence generation on DTs for health financing. The guide provides orientation to analyse a country use case of digital technology and its (positive and negative) effects for health financing, i.e. whether, how and why it contributes to the realization of desirable health financing attributes and UHC intermediate and final objectives or whether, how and in which circumstances it is actually harmful to these.
Book Synopsis Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem by : Dominique J Monlezun
Download or read book Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem written by Dominique J Monlezun and published by Elsevier. This book was released on 2024-06-11 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence Re-Engineering the Global Public Health Ecosystem: A Humanity Worth Saving provides a unifying strategic vision (and principles and examples operationalizing it) for the AI-accelerated effective, efficient, and equitable global public health of the future. Readers will find an ecosystem-based approach to understanding how AI is transforming and globalizing public health (and thus our underlying political economics, contextualized in our diverse cultures). The book integrates data architecture, digital health ecosystem, algorithms (including machine and deep learning and artificial general intelligence), quantum computing, global disease surveillance, adaptive value supply chains, demographic shifts, integral development, network science, health financing, healthcare system design, and multicultural global ethics underlying diverse political economic systems in a clear and concrete way forward together, within a divided but digitized and globalized world. Written by the world’s first triple doctorate-trained physician-data scientist and AI ethicist, this book is a compelling and coherent guide to help empower and equip AI developers, students, practitioners, policymakers, researchers, and leaders in digital technology, public health, healthcare, health policy, public policy, political science, economics, and ethics to generate the healthcare solutions that will define humanity’s next era. Details the first comprehensive ecosystem analysis of global public health revolutionized by AI. Uses concrete examples to explain the dominant players and trends determining health’s future, including through data architecture, financing, political economics, demographics, security, and multicultural ethics. Provides a successful full-spectrum formula for governments, institutions, companies, and communities to scale equitable health globally while respecting local identities and values.
Book Synopsis The use of digital technologies to support the identification of poor and vulnerable population groups for health coverage schemes. Insights from Cambodia, India and Rwanda by : World Health Organization
Download or read book The use of digital technologies to support the identification of poor and vulnerable population groups for health coverage schemes. Insights from Cambodia, India and Rwanda written by World Health Organization and published by World Health Organization. This book was released on 2022-12-19 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of digital technologies for health financing and their potential contribution to UHC progress is receiving increased attention, although the evidence base is still very small, indicating the need for further documentation and assessments of countries’ practices. This paper seeks to contribute to gathering the evidence needed. Specifically, the paper assesses the experiences of three countries – Cambodia, India and Rwanda – to explore the use and role of digital technologies that support the identification of the poor and other vulnerable population groups. The focus is on the processes of targeting, identification and identity confirmation as important health financing-related tasks that cut across the revenue-raising and pooling functions with the purpose of providing fully- or partially subsidized coverage via publicly funded health coverage schemes.
Book Synopsis The role of digital claims management for Estonia’s health insurance by : World Health Organization
Download or read book The role of digital claims management for Estonia’s health insurance written by World Health Organization and published by World Health Organization. This book was released on 2023-02-10 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Information and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity by : Reem Khamis Hamdan
Download or read book Information and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity written by Reem Khamis Hamdan and published by Springer Nature. This book was released on 2023 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book provides an in-depth analysis of current development concerning ICTs with reference to vocational education and training. It presents the best and innovative ICT-based solutions implemented in education and explores controversial topics such as challenges and opportunities. Information and communication technologies (ICTs) have dramatically changed the way we learn and work. They have created new opportunities along with new challenges, putting profound and urgent implications on vocational education and training (VET). Nowadays, we must think broadly and make the right choices about VET using innovation and digitalization to boost the quality of vocational education and training, enable the upskilling and reskilling of adults, and enhance the employability of learners. The potential and the impact of ICTs in vocational education and training have yet to be fully exploited, leading to an emerging direction of research. This book helps readers to understand the idea of business education and education governance in a digital age. It is of interest to practitioners, administrators, researchers, teachers, teacher educators and students.
Book Synopsis Artificial Intelligence and Machine Learning in Public Healthcare by : KC Santosh
Download or read book Artificial Intelligence and Machine Learning in Public Healthcare written by KC Santosh and published by Springer Nature. This book was released on 2022-01-01 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.
Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa
Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal
Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Book Synopsis Digital technologies for health financing by :
Download or read book Digital technologies for health financing written by and published by World Health Organization. This book was released on 2021-03-11 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence and Machine Learning in Health Care and Medical Sciences by : Gyorgy J. Simon
Download or read book Artificial Intelligence and Machine Learning in Health Care and Medical Sciences written by Gyorgy J. Simon and published by Springer Nature. This book was released on with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence and Machine Learning in Public Healthcare by : KC Santosh
Download or read book Artificial Intelligence and Machine Learning in Public Healthcare written by KC Santosh and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example-a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.
Book Synopsis National EHealth Strategy Toolkit by : World Health Organization
Download or read book National EHealth Strategy Toolkit written by World Health Organization and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Worldwide the application of information and communication technologies to support national health-care services is rapidly expanding and increasingly important. This is especially so at a time when all health systems face stringent economic challenges and greater demands to provide more and better care especially to those most in need. The National eHealth Strategy Toolkit is an expert practical guide that provides governments their ministries and stakeholders with a solid foundation and method for the development and implementation of a national eHealth vision action plan and monitoring fram.
Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Machine Learning and AI for Healthcare by : Arjun Panesar
Download or read book Machine Learning and AI for Healthcare written by Arjun Panesar and published by Apress. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
Book Synopsis Improving Security, Privacy, and Connectivity Among Telemedicine Platforms by : Geada, Nuno
Download or read book Improving Security, Privacy, and Connectivity Among Telemedicine Platforms written by Geada, Nuno and published by IGI Global. This book was released on 2024-03-27 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital transformation of the health sector consistently presents unique challenges. As technologies like artificial intelligence, big data, and telemedicine rapidly evolve, healthcare systems need to keep up with advancements and data protection. This rapid evolution, compounded by the complexities of managing patient data and ensuring cybersecurity, creates a daunting task for healthcare providers and policymakers. The COVID-19 pandemic has also highlighted the urgent need for digital solutions, amplifying the pressure on an already strained sector. Improving Security, Privacy, and Connectivity Among Telemedicine Platforms is a comprehensive guide to navigating the digital revolution in healthcare. It offers insights into identifying vital digital technologies and understanding their impact on the Health Value Chain. Through an analysis of empirical evidence, this book provides a roadmap for effectively managing change, transition, and digital value creation in healthcare. With a focus on business sustainability, change management, and cybersecurity, it equips scholars, researchers, and practitioners with the tools needed to thrive in a rapidly evolving digital landscape.
Book Synopsis Advanced Introduction to Artificial Intelligence in Healthcare by : Davenport, Tom
Download or read book Advanced Introduction to Artificial Intelligence in Healthcare written by Davenport, Tom and published by Edward Elgar Publishing. This book was released on 2022-08-05 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a comprehensive overview of the current and future uses of Artificial Intelligence in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizations. Analysing AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operations, it advises healthcare executives on how to effectively leverage AI to advance their strategies to support digital transformation.
