Data Science And Digital Service Delivery In Healthcare

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Data science and digital service delivery in healthcare

Author : Koichi Fujiwara,Tetsuharu Nagamoto,Priit Kruus
Publisher : Frontiers Media SA
Page : 138 pages
File Size : 45,8 Mb
Release : 2023-02-07
Category : Medical
ISBN : 9782832513743

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Data science and digital service delivery in healthcare by Koichi Fujiwara,Tetsuharu Nagamoto,Priit Kruus Pdf

Integrating Social Care into the Delivery of Health Care

Author : National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,Committee on Integrating Social Needs Care into the Delivery of Health Care to Improve the Nation's Health
Publisher : National Academies Press
Page : 195 pages
File Size : 54,8 Mb
Release : 2019-12-30
Category : Medical
ISBN : 9780309493468

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Integrating Social Care into the Delivery of Health Care by National Academies of Sciences, Engineering, and Medicine,Health and Medicine Division,Board on Health Care Services,Committee on Integrating Social Needs Care into the Delivery of Health Care to Improve the Nation's Health Pdf

Integrating Social Care into the Delivery of Health Care: Moving Upstream to Improve the Nation's Health was released in September 2019, before the World Health Organization declared COVID-19 a global pandemic in March 2020. Improving social conditions remains critical to improving health outcomes, and integrating social care into health care delivery is more relevant than ever in the context of the pandemic and increased strains placed on the U.S. health care system. The report and its related products ultimately aim to help improve health and health equity, during COVID-19 and beyond. The consistent and compelling evidence on how social determinants shape health has led to a growing recognition throughout the health care sector that improving health and health equity is likely to depend â€" at least in part â€" on mitigating adverse social determinants. This recognition has been bolstered by a shift in the health care sector towards value-based payment, which incentivizes improved health outcomes for persons and populations rather than service delivery alone. The combined result of these changes has been a growing emphasis on health care systems addressing patients' social risk factors and social needs with the aim of improving health outcomes. This may involve health care systems linking individual patients with government and community social services, but important questions need to be answered about when and how health care systems should integrate social care into their practices and what kinds of infrastructure are required to facilitate such activities. Integrating Social Care into the Delivery of Health Care: Moving Upstream to Improve the Nation's Health examines the potential for integrating services addressing social needs and the social determinants of health into the delivery of health care to achieve better health outcomes. This report assesses approaches to social care integration currently being taken by health care providers and systems, and new or emerging approaches and opportunities; current roles in such integration by different disciplines and organizations, and new or emerging roles and types of providers; and current and emerging efforts to design health care systems to improve the nation's health and reduce health inequities.

Artificial Intelligence in Healthcare

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 41,9 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

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

Data Science for Healthcare

Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Page : 367 pages
File Size : 54,7 Mb
Release : 2019-02-23
Category : Computers
ISBN : 9783030052492

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Data Science for Healthcare by Sergio Consoli,Diego Reforgiato Recupero,Milan Petković Pdf

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

Leveraging Data Science for Global Health

Author : Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai
Publisher : Springer Nature
Page : 471 pages
File Size : 51,7 Mb
Release : 2020-07-31
Category : Medical
ISBN : 9783030479947

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Leveraging Data Science for Global Health by Leo Anthony Celi,Maimuna S. Majumder,Patricia Ordóñez,Juan Sebastian Osorio,Kenneth E. Paik,Melek Somai Pdf

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

Digital Transformation in Healthcare in Post-COVID-19 Times

Author : Miltiadis Lytras,Abdulrahman Housawi,Basim Alsaywid
Publisher : Elsevier
Page : 296 pages
File Size : 47,6 Mb
Release : 2023-05-12
Category : Computers
ISBN : 9780323985772

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Digital Transformation in Healthcare in Post-COVID-19 Times by Miltiadis Lytras,Abdulrahman Housawi,Basim Alsaywid Pdf

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. This is a valuable resource for healthcare professionals, medical doctors, researchers, graduate students and members of the biomedical field who are interested in learning more about the use of emerging technologies in healthcare. Holistically discusses the new landscape of digital transformation and sustainability in health Presents a case study driven approach based on real-world scenarios to help readers apply the knowledge gained into practice Promotes sound research on the impact of emerging technologies in health and life specialties and their relevant role during the COVID-19 pandemic

Advancing Big Data Analytics for Healthcare Service Delivery

Author : Tiko Iyamu
Publisher : Taylor & Francis
Page : 228 pages
File Size : 53,7 Mb
Release : 2022-10-20
Category : Business & Economics
ISBN : 9781000750560

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Advancing Big Data Analytics for Healthcare Service Delivery by Tiko Iyamu Pdf

In recent years, there has been steady increase in the interest shown in both big data analytics and the use of information technology (IT) solutions to improve healthcare services. Despite the growing interest, there are limited materials, to addressing the needs and challenges posed by the activities and processes including the use of big data. From IT solutions’ perspectives, this book aims to advance the deployment and use of big data analytics to increase patients’ big data usefulness and improve healthcare service delivery. The book provides significant insights and useful guide on how to access and manage big data, in improving healthcare service delivery. The book contributes a fresh perspective, which primarily comes from the complementary use of analytics approach with actor-network theory (ANT), and other techniques, in advancing healthcare service delivery. Accessing and managing healthcare big data have always been a challenging exercise. Due to the sensitivity of the health sector, the focus on patients’ big data is from either technical or social perspective. Thus, the book employs sociotechnical theories, ANT and structuration theory (ST) as lenses to examine and explain the factors that enable and constrain the use of patients’ big data for health services. By doing so, the book brings a different dimension and advance health service delivery. Providing a timely and important contribution to this critical area, this book is a valuable, international resource for academics, postgraduate students and researchers in the areas of IT, big data analytics, data management and health informatics.

Digital Disruption in Healthcare

Author : Nilmini Wickramasinghe,Suresh Chalasani,Elliot Sloane
Publisher : Springer Nature
Page : 342 pages
File Size : 55,6 Mb
Release : 2022-06-23
Category : Medical
ISBN : 9783030956752

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Digital Disruption in Healthcare by Nilmini Wickramasinghe,Suresh Chalasani,Elliot Sloane Pdf

Digital disruption in healthcare is generating new technologies, applications, and large data sets, and these are all precipitating significant changes in healthcare processes. Emerging applications due to digital disruption and their impact on healthcare delivery and quality are becoming some of the key focus areas of research. However, to date, systematic, generalizable, full-scale evaluation of these new technologies/applications is lacking. Little is known about the net short- or long-term health and wellness impacts of digital technologies. Similarly, the care-delivery and management process changes caused by digital disruption are forcing healthcare organizations to react rather than plan for them in advance. Given these gaps, this book addresses the technology, applications, data, and process aspects of digital disruption in healthcare. This volume is a collection of key areas in health and wellness impacted by digital disruption. It highlights the benefits, barriers, facilitators, and transformative forces that are shaping healthcare digital disruption. Topics explored in the chapters include: Towards Network Medicine: Implementation of Panomics and Artificial Intelligence for Precision Medicine Telehealth Implementation: A Synopsis of Patients’ Experience of Clinical Outcomes Realising the Healthcare Value Proposition of Better Access, Quality and Value of Care by Incorporating the Social Determinants of Health with Digital Health The Internet Hospital in the Time of COVID-19: An Example from China Given the diverse interest in healthcare delivery solutions today, the need is broad across academia and the healthcare industry for a comprehensive resource for teaching, practice, and research. Digital Disruption in Healthcare is a point-of-entry resource for transferring theory into practice for heads of IT departments in hospitals, consultants, and academia, as well as scholars and researchers. Both graduate and undergraduate students as well as certificate-seeking health informatics and public health students would benefit from this book. Furthermore, it is useful for healthcare stakeholders including healthcare professionals, clinicians, medical administrators, managers, consultants, policy-makers, and IT practitioners within the healthcare space.

Digital Health Care: Perspectives, Applications, and Cases

Author : Phillip Olla,Joseph Tan
Publisher : Jones & Bartlett Learning
Page : 304 pages
File Size : 48,7 Mb
Release : 2022-05-04
Category : Medical
ISBN : 9781284254662

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Digital Health Care: Perspectives, Applications, and Cases by Phillip Olla,Joseph Tan Pdf

Digital Health Care: Perspectives, Applications, and Cases explores the trends, perspectives, and cases of Digital Healthcare and Informatics (DHI) that are transforming healthcare across the globe. Organized in 5 major connecting parts, this well-conceived text begins by laying out foundational DHI themes before focusing in on key DHI core technologies, developments, methods and challenges -- from big data analytics & artificial intelligence to security and privacy issues, clinical decision support systems, consumer health informatics, and more. It then explores DHI emerging technologies (e.g. sensors and wearable electronics), and concludes with short case studies and critical case questions designed to reinforce conceptual understanding. Written for undergraduates health professionals, this accessible text offers a multidisciplinary perspective that is suitable for use in variety of healthcare disciplines - from allied health and nursing to health administration & public health

Machine Learning and Data Science Techniques for Effective Government Service Delivery

Author : Ogunleye, Olalekan Samuel
Publisher : IGI Global
Page : 358 pages
File Size : 43,7 Mb
Release : 2024-03-27
Category : Political Science
ISBN : 9781668497180

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Machine Learning and Data Science Techniques for Effective Government Service Delivery by Ogunleye, Olalekan Samuel Pdf

In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21st century, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored for experts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future.

Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1596 pages
File Size : 51,6 Mb
Release : 2017-12-01
Category : Medical
ISBN : 9781522539278

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Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

The development of better processes to provide proper healthcare has enhanced contemporary society. By implementing effective collaborative strategies, this ensures proper quality and instruction for both the patient and medical practitioners. Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest scholarly material on emerging strategies and methods for delivering optimal healthcare and examines the latest techniques and methods of clinical science. Highlighting a range of pertinent topics such as medication management, health literacy, and patient engagement, this multi-volume book is ideally designed for professionals, practitioners, researchers, academics, and graduate students interested in healthcare delivery and clinical science.

The Patient Revolution

Author : Krisa Tailor
Publisher : John Wiley & Sons
Page : 224 pages
File Size : 42,7 Mb
Release : 2015-12-29
Category : Computers
ISBN : 9781119130000

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The Patient Revolution by Krisa Tailor Pdf

In The Patient Revolution, author Krisa Tailor—a noted expert in health care innovation and management—explores, through the lens of design thinking, how information technology will take health care into the experience economy. In the experience economy, patients will shift to being empowered consumers who are active participants in their own care. Tailor explores this shift by creating a vision for a newly designed health care system that's focused on both sickness and wellness, and is driven by data and analytics. The new system seamlessly integrates health into our daily lives, and delivers care so uniquely personalized that no two people are provided identical treatments. Connected through data, everyone across the health care ecosystem, including clinicians, insurers, and researchers, will be able to meet individuals wherever they are in their health journey to reach the ultimate goal of keeping people healthy. The patient revolution has just begun and an exciting journey awaits us. Praise for the patient revolution "A full 50% of the US population has at least one chronic disease that requires ongoing monitoring and treatment. Our current health care system is woefully inadequate in providing these individuals with the treatment and support they need. This disparity can only be addressed through empowering patients to better care for themselves and giving providers better tools to care for their patients. Both of those solutions will require the development and application of novel technologies. In Krisa Tailor's book The Patient Revolution, a blueprint is articulated for how this could be achieved, culminating in a vision for a learning health system within 10 years." —Ricky Bloomfield, MD, Director, Mobile Technology Strategy; Assistant Professor, Duke Medicine "In The Patient Revolution, Krisa Tailor astutely points out that 80% of health is impacted by factors outside of the health care system. Amazon unfortunately knows more about our patients than we do. The prescriptive analytics she describes will allow health care providers to use big data to optimize interventions at the level of the individual patient. The use of analytics will allow providers to improve quality, shape care coordination, and contain costs. Advanced analytics will lead to personalized care and ultimately empowered patients!" —Linda Butler, MD, Vice President of Medical Affairs/Chief Medical Officer/Chief Medical Information Officer, Rex Healthcare "The Patient Revolution provides a practical roadmap on how the industry can capture value by making health and care more personalized, anticipatory, and intuitive to patient needs." —Ash Damle, CEO, Lumiata "Excellent read. For me, health care represents a unique economy—one focused on technology, but requiring a deep understanding of humanity. Ms. Tailor begins the exploration of how we provide care via the concepts of design thinking, asking how we might redesign care with an eye toward changing the experience. She does an excellent job deconstructing this from the patient experience. I look forward to a hopeful follow-up directed at changing the provider culture." —Alan Pitt, MD, Chief Medical Officer, Avizia "Whether you're a health care provider looking to gain an understanding of the health care landscape, a health data scientist, or a seasoned business pro, you'll come away with a deeper, nuanced understanding of today's evolving health care system with this book. Krisa Tailor ties together—in a comprehensive, unique way—the worlds of health care administration, clinical practice, design thinking, and business strategy and innovation." —Steven Chan, MD, MBA, University of California, Davis

Digital Health Care

Author : Phillip Olla,Joseph Tan
Publisher : Jones & Bartlett Learning
Page : 304 pages
File Size : 41,5 Mb
Release : 2022-05-18
Category : Business & Economics
ISBN : 9781284153859

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Digital Health Care by Phillip Olla,Joseph Tan Pdf

"Binding: NVA"--

Digital Transformation in Healthcare 5.0

Author : Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry
Publisher : Walter de Gruyter GmbH & Co KG
Page : 409 pages
File Size : 44,6 Mb
Release : 2024-05-06
Category : Computers
ISBN : 9783111327860

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Digital Transformation in Healthcare 5.0 by Rishabha Malviya,Sonali Sundram,Rajesh Kumar Dhanaraj,Seifedine Kadry Pdf

"Digital Transformation in Healthcare 5.0: IoT, AI, and Digital Twin" provides a comprehensive overview of the integration of cutting-edge technology with healthcare, from the Fourth Industrial Revolution (4IR) to the introduction of IoT, AI, and Digital Twin technologies. This in-depth discussion of the digital revolution expanding the healthcare industry covers a wide range of topics, including digital disruption in healthcare delivery, the impact of 4IR and Health 4.0, e-health services and applications, virtual reality's impact on accessible healthcare delivery, digital twins and dietary health technologies, big data analytics in healthcare systems, machine learning models for cost-effective healthcare delivery systems, affordable healthcare with machine learning, enhanced biomedical signal processing with machine learning, and data-driven AI for information retrieval of biomedical images.

Nursing and Informatics for the 21st Century - Embracing a Digital World, 3rd Edition, Book 3

Author : Connie White Delaney,Charlotte Weaver,Joyce Sensmeier,Lisiane Pruinelli,Patrick Weber
Publisher : CRC Press
Page : 240 pages
File Size : 53,7 Mb
Release : 2022-04-29
Category : Business & Economics
ISBN : 9781000573497

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Nursing and Informatics for the 21st Century - Embracing a Digital World, 3rd Edition, Book 3 by Connie White Delaney,Charlotte Weaver,Joyce Sensmeier,Lisiane Pruinelli,Patrick Weber Pdf

Innovation, Technology, and Applied Informatics for Nurses explores informatics trends emerging over the next decade including personalized healthcare, telehealth, artificial intelligence, voice recognition, and predictive analytics. Emphasis is placed on their importance, benefits, and key challenges for nurses. Digital health and patient-generated data in the context of remote monitoring are highlighted with a focus on digital health tools, issues, challenges, and implications for the future. A featured case study includes the use of patient-generated data during the COVID-19 pandemic including critical lessons learned. A discussion of the technological building blocks of sensors and the Internet of Things highlights examples of how healthcare delivery system models of care are being transformed. Applied data science as an emerging healthcare discipline explores natural language processing, data science frameworks, implications for data bias, and ethical considerations. The conceptual building blocks of artificial intelligence and machine learning are outlined resulting in a call for all nurses to develop an improved understanding of implications for our practice and our patients. Telehealth is described as including modalities, services, virtual care, human factors, and financial, legal, and regulatory considerations. Key drivers and stakeholders advancing simulation-based care delivery are discussed including recommendations for how healthcare organizations can perform event simulation as they prepare to meet the risk management needs of the future. This book concludes by highlighting documentation best practices implemented during the COVID-19 pandemic. Nursing and Informatics for the 21st Century – Embracing a Digital World, 3rd Edition is comprised of four books which can be purchased individually: Book 1: Realizing Digital Health – Bold Challenges and Opportunities for Nursing Book 2: Nursing Education and Digital Health Strategies Book 3: Innovation, Technology, and Applied Informatics for Nurses Book 4: Nursing in an Integrated Digital World that Supports People, Systems, and the Planet