Next Generation Healthcare
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Healthcare 4 0
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Author : Janya Chanchaichujit
language : en
Publisher: Springer
Release Date : 2019-07-23
Healthcare 4 0 written by Janya Chanchaichujit and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-23 with Business & Economics categories.
This book aims to demonstrate the benefits of implementing Industry 4.0 in healthcare services and to recommend a framework to support this implementation. Key topics in this book include: (1) Discovering emerging technologies and techniques to support Healthcare 4.0, this includes the Internet of Things (IOT) , Big data analytics, Blockchain, Artificial Intelligence (AI) , Optimisation and Predictive Analytics; (2) Illustrating some examples of such advanced implementation in Healthcare 4.0; (3) Recommending a development process to develop health technology start-ups and entrepreneurial activities; and (4) Discuss the transformation methodology used to redesign healthcare processes in order to overcome the challenges of implementing a Healthcare 4.0 project.
Next Generation Healthcare
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Author : Jyotir Moy Chatterjee
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-03-27
Next Generation Healthcare written by Jyotir Moy Chatterjee and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-27 with Computers categories.
Healthcare faces significant challenges due to fragmented data, vendor-locked systems, and security concerns, which hinder the timely delivery of clinical insights and efficient workflow management. This book explores the transformative potential of AI, particularly deep learning (DL) AI, in addressing these issues and enabling personalized healthcare. It covers diverse applications such as clinical trials, telemedicine, EHR management, and disease detection, emphasizing the importance of accurate algorithms to enhance patient outcomes. Key chapters delve into AI’s impact on areas like Parkinson’s and Alzheimer’s detection, the role of blockchain in data integrity, the use of NLP, AR/VR in healthcare, and strategies to combat billing fraud. The book also highlights the importance of diversity in healthcare and presents cutting-edge DL frameworks, such as YOLOv8 and U-Net, for medical image segmentation, offering valuable insights for researchers, practitioners, and policymakers alike.
Internet Of Things And Big Data Technologies For Next Generation Healthcare
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Author : Chintan Bhatt
language : en
Publisher: Springer
Release Date : 2017-01-01
Internet Of Things And Big Data Technologies For Next Generation Healthcare written by Chintan Bhatt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with Technology & Engineering categories.
This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
Point Of Care Technologies Enabling Next Generation Healthcare Monitoring And Management
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Author : Sandeep Kumar Vashist
language : en
Publisher: Springer
Release Date : 2019-02-20
Point Of Care Technologies Enabling Next Generation Healthcare Monitoring And Management written by Sandeep Kumar Vashist and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-20 with Technology & Engineering categories.
This book describes the emerging point-of-care (POC) technologies that are paving the way to the next generation healthcare monitoring and management. It provides the readers with comprehensive, up-to-date information about the emerging technologies, such as smartphone-based mobile healthcare technologies, smart devices, commercial personalized POC technologies, paper-based immunoassays (IAs), lab-on-a-chip (LOC)-based IAs, and multiplex IAs. The book also provides guided insights into the POC diabetes management software and smart applications, and the statistical determination of various bioanalytical parameters. Additionally, the authors discuss the future trends in POC technologies and personalized and integrated healthcare solutions for chronic diseases, such as diabetes, stress, obesity, and cardiovascular disorders. Each POC technology is described comprehensively and analyzed critically with its characteristic features, bioanalytical principles, applications, advantages, limitations, and future trends. This book would be a very useful resource and teaching aid for professionals working in the field of POC technologies, in vitro diagnostics (IVD), mobile healthcare, Big Data, smart technology, software, smart applications, biomedical engineering, biosensors, personalized healthcare, and other disciplines.
Next Generation Healthcare Informatics
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Author : B. K. Tripathy
language : en
Publisher: Springer Nature
Release Date : 2022-06-06
Next Generation Healthcare Informatics written by B. K. Tripathy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-06 with Technology & Engineering categories.
This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.
Society 5 0 And Next Generation Healthcare
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Author : Zodwa Dlamini
language : en
Publisher: Springer Nature
Release Date : 2023-08-08
Society 5 0 And Next Generation Healthcare written by Zodwa Dlamini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-08 with Medical categories.
This book analyses the ability of technological advancements to represent, enhance, and empower multidisciplinarity in the context of Society 5.0. and next generation medicine. New technologies allow patients to communicate with medical personnel anytime, anywhere and shape the terrain of healthcare ecosystem at an unprecedented rate. Five main trends become apparent in this process: Hybrid care models combining virtual and in-person services, digitization of healthcare specialties, increased Artificial intelligence (AI) adoption, health systems moving to the cloud and advanced precision medicine. In its chapters the book dissects the important roles for technologies in areas such as digital twinning, big data, Internet of Things, AI, cyber-physical systems, blockchain technology to lead the healthcare digitalization envisioned in Society 5.0. Throughout the book the authors discuss how to incorporate these new technologies legally, ethically, safely, and securely and in keeping with the highest standards of human rights. It also advocates for the need for careful oversight and mindful allocation of resources and energy for sustainable development. This book, written by experts in the field from academia and industry, will appeal to researchers, healthcare professionals, policy makers, teachers and students interested in the ways healthcare is reorganized based on digital transformation efforts and the rethinking of care, including technologies.
Deep Learning In Internet Of Things For Next Generation Healthcare
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Author : Lavanya Sharma
language : en
Publisher: CRC Press
Release Date : 2024-06-18
Deep Learning In Internet Of Things For Next Generation Healthcare written by Lavanya Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-18 with Computers categories.
This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.
Next Generation Healthcare Systems Using Soft Computing Techniques
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Author : Rekh Ram Janghel
language : en
Publisher: CRC Press
Release Date : 2022-09-21
Next Generation Healthcare Systems Using Soft Computing Techniques written by Rekh Ram Janghel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Computers categories.
This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems. This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book examines descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in finding solutions to problems in healthcare systems. A framework of robust and novel healthcare techniques is highlighted, as well as implementation strategies and a setup for future research endeavors. Healthcare Systems Using Soft Computing Techniques is a valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners to—and at the same time brings industry professionals up to speed with—the important role soft computing techniques play in smart healthcare systems.
Electronic Health Record
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Author : Pradeep K. Sinha
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-27
Electronic Health Record written by Pradeep K. Sinha and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-27 with Computers categories.
Discover How Electronic Health Records Are Built to Drive the Next Generation of Healthcare Delivery The increased role of IT in the healthcare sector has led to the coining of a new phrase "health informatics," which deals with the use of IT for better healthcare services. Health informatics applications often involve maintaining the health records of individuals, in digital form, which is referred to as an Electronic Health Record (EHR). Building and implementing an EHR infrastructure requires an understanding of healthcare standards, coding systems, and frameworks. This book provides an overview of different health informatics resources and artifacts that underlie the design and development of interoperable healthcare systems and applications. Electronic Health Record: Standards, Coding Systems, Frameworks, and Infrastructures compiles, for the first time, study and analysis results that EHR professionals previously had to gather from multiple sources. It benefits readers by giving them an understanding of what roles a particular healthcare standard, code, or framework plays in EHR design and overall IT-enabled healthcare services along with the issues involved. This book on Electronic Health Record: Offers the most comprehensive coverage of available EHR Standards including ISO, European Union Standards, and national initiatives by Sweden, the Netherlands, Canada, Australia, and many others Provides assessment of existing standards Includes a glossary of frequently used terms in the area of EHR Contains numerous diagrams and illustrations to facilitate comprehension Discusses security and reliability of data
Artificial Intelligence And Big Data Analytics For Smart Healthcare
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Author : Miltiadis Lytras
language : en
Publisher: Elsevier
Release Date : 2021-10-22
Artificial Intelligence And Big Data Analytics For Smart Healthcare written by Miltiadis Lytras and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Business & Economics categories.
Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers