The Implications Of Artificial Intelligence And Machine Learning In Health Financing For Achieving Universal Health Coverage
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The Implications Of Artificial Intelligence And Machine Learning In Health Financing For Achieving Universal Health Coverage
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2022-12-31
The Implications Of Artificial Intelligence And Machine Learning In Health Financing For Achieving Universal Health Coverage written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-31 with Health & Fitness categories.
Assessing The Effects Of Digital Technologies On Health Financing And Universal Health Coverage Objectives
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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2023-08-23
Assessing The Effects Of Digital Technologies On Health Financing And Universal Health Coverage Objectives written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-23 with Health & Fitness categories.
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.
Artificial Intelligence And Machine Learning In Public Healthcare
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Author : KC Santosh
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Artificial Intelligence And Machine Learning In Public Healthcare written by KC Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
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.
Digital Technologies For Health Financing
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Author :
language : en
Publisher: World Health Organization
Release Date : 2021-03-11
Digital Technologies For Health Financing written by and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-11 with Social Science categories.
The Economics Of Artificial Intelligence
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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-05
The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Business & Economics categories.
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.
Artificial Intelligence And Machine Learning In Public Healthcare
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Author : KC Santosh
language : en
Publisher:
Release Date : 2021
Artificial Intelligence And Machine Learning In Public Healthcare written by KC Santosh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
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.
Artificial Intelligence And Machine Learning In Health Care And Medical Sciences
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Author : Gyorgy J. Simon
language : en
Publisher: Springer Nature
Release Date :
Artificial Intelligence And Machine Learning In Health Care And Medical Sciences written by Gyorgy J. Simon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Machine Learning And Ai For Healthcare
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Author : Arjun Panesar
language : en
Publisher: Apress
Release Date : 2019-02-04
Machine Learning And Ai For Healthcare written by Arjun Panesar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-04 with Computers categories.
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.
Powering The Digital Economy Opportunities And Risks Of Artificial Intelligence In Finance
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Author : El Bachir Boukherouaa
language : en
Publisher: International Monetary Fund
Release Date : 2021-10-22
Powering The Digital Economy Opportunities And Risks Of Artificial Intelligence In Finance written by El Bachir Boukherouaa and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Business & Economics categories.
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.
Healthcare And Artificial Intelligence
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Author : Bernard Nordlinger
language : en
Publisher: Springer Nature
Release Date : 2020-03-17
Healthcare And Artificial Intelligence written by Bernard Nordlinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-17 with Technology & Engineering categories.
This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.
