Advancing Big Data Analytics For Healthcare Service Delivery

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Advancing Big Data Analytics For Healthcare Service Delivery
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Author : Tiko Iyamu
language : en
Publisher: Taylor & Francis
Release Date : 2022-10-20
Advancing Big Data Analytics For Healthcare Service Delivery written by Tiko Iyamu and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-20 with Business & Economics categories.
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.
Essentials Of Healthcare Analytics
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Author : Prof. Dr. R Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij
language : en
Publisher: Notion Press
Release Date : 2024-08-28
Essentials Of Healthcare Analytics written by Prof. Dr. R Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-28 with Health & Fitness categories.
In a world where data-driven decisions can lead to changes in the land in health care, "Essentials of Healthcare Analytics" is the unique source of how to leverage that data to deliver better care at a lower cost and with better margins. This book delves deep into the great yet critical role that analytics play in health care and looks forward to how the technologies, methodologies, and best practices in this field are set to have their future defined. It could entail such diverse topics as foundational concepts through advanced applications, data integration, predictive modeling, and real-time analytics. Learn how to leverage state-of-the-art tools such as Python and R in data analysis and find out how machine learning and AI have changed patient care, personalized medicine, and healthcare management. Whether you are a working professional in healthcare, a data analyst, or a student who seeks to break into such an exciting field, Essentials of Healthcare Analytics will prepare you with knowledge and the right skill set to negotiate the complexities of healthcare through data and make this knowledge actionable for informed decisions. Embrace the future of healthcare with the deep understanding of how analytics can drive your organization towards innovation and efficiency.
Advanced Big Data Analytics Professional Level
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Author : CPA John Kimani
language : en
Publisher: Finstock Evarsity Publishers
Release Date : 2023-08-28
Advanced Big Data Analytics Professional Level written by CPA John Kimani and has been published by Finstock Evarsity Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-28 with Computers categories.
BOOK SUMMARY The main topics in this book are; • Machine Learning Algorithms for Predictive Analysis • Natural Language Processing in Text Analytics • Graph Analytics and Network Analysis • Time Series Analysis and Forecasting • Deep Learning in Image and Video Analytics • Streaming Data Analytics • Spatial Data Analysis and Geospatial Analytics • Big Data Ethics and Privacy Considerations “Advanced Big Data Analytics” offers a comprehensive exploration of cutting-edge techniques and methodologies in the realm of big data analysis. Through a blend of theoretical insights, practical examples and real-world case studies, the book guides readers in harnessing the power of vast datasets to uncover valuable insights, make informed decisions and address contemporary data-driven challenges.
Big Data Science And Analytics For Smart Sustainable Urbanism
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Author : Simon Elias Bibri
language : en
Publisher: Springer
Release Date : 2019-05-30
Big Data Science And Analytics For Smart Sustainable Urbanism written by Simon Elias Bibri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-30 with Social Science categories.
We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holisticand integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.
Advanced Computing Solutions For Healthcare
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Author : Sivakumar Rajagopal, Prakasam P., Konguvel E., Shamala Subramaniam, Ali Safaa Sadiq Al Shakarchi, B. Prabadevi
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-07-01
Advanced Computing Solutions For Healthcare written by Sivakumar Rajagopal, Prakasam P., Konguvel E., Shamala Subramaniam, Ali Safaa Sadiq Al Shakarchi, B. Prabadevi and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Technology & Engineering categories.
Advanced Computing Solutions for Healthcare explores the transformative integration of advanced computing technologies into healthcare systems, emphasizing innovation in patient care, diagnostics, and health monitoring. Spanning 22 chapters, it covers topics such as artificial intelligence, machine learning, IoT, data science, and wearable technologies. The book bridges theoretical concepts and practical applications, featuring neuromorphic computing, IoT for healthcare, AI-driven diagnostics, 5G in medicine, augmented reality, and mathematical modeling. It highlights real-world case studies and cutting-edge methodologies, including FPGA-based accelerators, deep learning models for disease classification, and assistive technologies for inclusivity.
Advancing Healthcare Through Data Driven Innovations
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Author : Gunjan Rehani
language : en
Publisher: CRC Press
Release Date : 2024-12-19
Advancing Healthcare Through Data Driven Innovations written by Gunjan Rehani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Law categories.
The book emphasizes the role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively implementing data-driven innovations. It delves into the applications of big data analytics, unveiling valuable insights and offering real-time decision support to healthcare professionals and goes on to review the role of machine learning and artificial intelligence in enabling accurate diagnosis, personalized treatment recommendations, and predictive modeling. The book is an invaluable resource for healthcare professionals, researchers, policymakers, and technology enthusiasts alike. Its practical insights and perspectives empower stakeholders to leverage data-driven technologies effectively, thus fostering continuous improvements in patient care and shaping a brighter future for the healthcare industry as a whole.
Consumer And Innovations In E Health Services
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Author : Anna Dąbrowska
language : en
Publisher: CRC Press
Release Date : 2025-02-11
Consumer And Innovations In E Health Services written by Anna Dąbrowska and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Business & Economics categories.
Innovations in e-health can significantly enhance healthcare accessibility, efficiency and patient safety. The advancements, such as telemedicine and electronic health records, facilitate remote access to healthcare services, reducing geographical barriers and addressing the urgent needs of patients. Moreover, they enable healthcare providers to deliver more personalized and accurate healthcare services thanks to integrating technologies like artificial intelligence. Ehealth optimizes healthcare costs, addresses current, pressing needs of individuals, communities and societies and adapts to the changing landscape of healthcare, making it a crucial and highly relevant topic in today’s world. This book discusses critical aspects associated with the implementation of technological innovations in the e-health market. The authors have identified the technological innovations introduced in the e-health sector during the last decade of the twenty- first century and explored how patients are adapting to and managing these technological advancements. The authors conducted research in four selected European countries: Poland, Finland, Estonia and Spain, with a focus on understanding the extent to which these new technological solutions have been embraced by demand- side actors, that is, recipients/users of e-health services. The resulting book aims to address the following questions: What barriers do new technological solutions encounter in their implementation? Do the e-health services and solutions contribute to improving health and extending life expectancy in individual European countries? The book offers a comprehensive overview of innovations in digital health services, concentrating on this sector as evaluated by the institutions responsible for their functioning and the development of the supply side of e-health services. Additionally, the book provides an in- depth analysis of patients’ attitudes toward technological advancements in medical services, focusing on their interaction with digital healthcare solutions and assessing the willingness of e-patients to incorporate cutting-edge e-health services into their health- related behaviors. Finally, the book presents an analysis and assessment of using technological solutions to enhance the efficiency and effectiveness of the healthcare system in Europe. It provides practical insights and a comprehensive view of innovations and e-services in healthcare, catering to a diverse audience, including practitioners and managers of healthcare entities, patients, tech start- ups, researchers and students.
Advancement Opportunities And Practices In Telehealth Technology
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Author : Kumar, S.N.
language : en
Publisher: IGI Global
Release Date : 2022-05-27
Advancement Opportunities And Practices In Telehealth Technology written by Kumar, S.N. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-27 with Medical categories.
Recent advancements in medical technology, such as telehealth services, have influenced the healthcare sector tremendously. While telehealth technology and its application are not new, it has not been widely utilized despite the numerous benefits and opportunities it provides. However, recent policy changes have lowered obstacles to telehealth access and pushed the use of telemedicine to deliver acute, chronic, primary, and specialist care. In order to successfully integrate this technology in all areas of healthcare, further study is required to fully understand the best practices and challenges of adoption. Advancement, Opportunities, and Practices in Telehealth Technology discusses advances in the digital health technology and telemedicine domains as well as key challenges, solutions, and opportunities regarding their use in healthcare. The book also introduces critical communication protocols, interconnections, system designs, and developments that are extensively used in the present-day telehealth process. Covering a wide range of topics such as digital twins, big data analytics, and robotics, this reference work is an ideal resource for engineers, industry professionals, hospital administration, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.
Advanced Classification Techniques For Healthcare Analysis
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Author : Chakraborty, Chinmay
language : en
Publisher: IGI Global
Release Date : 2019-02-22
Advanced Classification Techniques For Healthcare Analysis written by Chakraborty, Chinmay and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-22 with Medical categories.
Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.
Advanced Prognostic Predictive Modelling In Healthcare Data Analytics
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Author : Sudipta Roy
language : en
Publisher: Springer Nature
Release Date : 2021-04-22
Advanced Prognostic Predictive Modelling In Healthcare Data Analytics written by Sudipta Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-22 with Technology & Engineering categories.
This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.