| cloud computing in healthcare case study: Revolutionizing Healthcare Systems Through Cloud Computing and IoT S, Balasubramaniam, Kadry, Seifedine, 2024-10-18 The healthcare industry has reached its full capacity due to the outbreak of COVID-19. Its global influence has brought attention to the utmost capabilities and limitations of healthcare facilities worldwide. The Internet of Things (IoT) and cloud services can effectively handle the immense healthcare demands that have never been seen before. The scarcity of healthcare personnel and limited resources necessitate the adoption of emerging technology to bolster healthcare delivery. IoT and cloud computing present ample promise in situations like this, as they may be utilized for monitoring, diagnostics, support, and intelligent decision-making. Revolutionizing Healthcare Systems Through Cloud Computing and IoT explores the concepts of cloud computing-based healthcare systems, IoT-based healthcare systems, and cloud-IoT-based healthcare systems. It delves into the significance and benefits of cloud-IoT-based healthcare systems. Covering topics such as disease screening, smart monitoring, and healthcare policy, this book is an excellent resource for researchers, scientists, engineers, graduate and postgraduate students, healthcare professionals and administrators, educators, and more. |
| cloud computing in healthcare case study: Cloud Computing Applications for Quality Health Care Delivery Moumtzoglou, Anastasius, 2014-06-30 Software applications once held on local computers and servers are beginning to shift to the public Internet sphere, and private health information is no exception. The likelihood of placing once restricted and private health records in the cloud is increasing. Cloud Computing Applications for Quality Health Care Delivery focuses on cloud technologies that could affect quality in the healthcare field. Leading experts in this area offer their knowledge and contribute to the demystification of healthcare in the Cloud. This publication will prove to be a useful tool for undergraduate and graduate students of healthcare quality and management, healthcare managers, and industry professionals. |
| cloud computing in healthcare case study: Cloud Computing with Security and Scalability. Naresh Kumar Sehgal, Pramod Chandra P. Bhatt, John M. Acken, 2022-09-03 This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early networking protocols, leading to current concerns such as hardware and systems security, performance, emerging areas of IoT, Edge Computing, and healthcare etc. Readers will benefit from the in-depth discussion of cloud computing usage and the underlying architectures. The authors explain carefully the “why’s and how’s” of Cloud Computing, so engineers will find this book an invaluable source of information to the topic. This third edition includes new material on Cloud Computing Scalability, as well as best practices for using dynamic cloud infrastructure, and cloud operations management with cost optimizations. Several new examples and analysis of cloud security have been added, including ARM architecture and https protocol. Provides practical guidance for software developers engaged in migrating in-house applications to Public Cloud; Describes for IT managers how to improve their Cloud Computing infrastructures; Includes coverage of security concerns with Cloud operating models; Uses several case studies to illustrate the “why’s and how’s” of using the Cloud; Examples and options to improve Cloud Computing Scalability. |
| cloud computing in healthcare case study: Trust, Privacy and Security in Digital Business Stefanos Gritzalis, Edgar R. Weippl, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, 2020-09-13 This book constitutes the refereed proceedings of the 17th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2020, held in Bratislava, Slovakia, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 11 full and 4 short papers presented were carefully reviewed and selected from 28 submissions. The papers are organized in the following topical sections: blockchain, cloud security/hardware; economics/privacy; human aspects; privacy; privacy and machine learning; trust. |
| cloud computing in healthcare case study: Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practices Rajeev Tiwari, Deepika Koundal, Shuchi Upadhyay, 2023-03-25 Increase in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term. Computer Vision specialists have developed new methods for automatic food intake monitoring and food logging. Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics are key for sustainable food understanding. The need for AI based technologies that allow tracking of physical activities and nutrition habits are rapidly increasing and automatic analysis of food images plays an important role. Computer vision and image processing offers truly impressive advances to various applications like food analytics and healthcare analytics and can aid patients in keeping track of their calorie count easily by automating the calorie counting process. It can inform the user about the number of calories, proteins, carbohydrates, and other nutrients provided by each meal. The information is provided in real-time and thus proves to be an efficient method of nutrition tracking and can be shared with the dietician over the internet, reducing healthcare costs. This is possible by a system made up of, IoT sensors, Cloud-Fog based servers and mobile applications. These systems can generate data or images which can be analyzed using machine learning algorithms. Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. This book examines the usage of 4.0 industrial revolution technologies such as computer vision and artificial intelligence in the field of healthcare and food industry, providing a comprehensive understanding of computer vision and intelligence methodologies which tackles the main challenges of food and health processing. Additionally, the text focuses on the employing sustainable 4 IR technologies through which consumers can attain the necessary diet and nutrients and can actively monitor their health. In focusing specifically on the food industry and healthcare analytics, it serves as a single source for multidisciplinary information involving AI and vision techniques in the food and health sector. Current advances such as Industry 4.0 and Fog-Cloud based solutions are covered in full, offering readers a fully rounded view of these rapidly advancing health and food analysis systems. |
| cloud computing in healthcare case study: Cloud Security: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2019-04-01 Cloud computing has experienced explosive growth and is expected to continue to rise in popularity as new services and applications become available. As with any new technology, security issues continue to be a concern, and developing effective methods to protect sensitive information and data on the cloud is imperative. Cloud Security: Concepts, Methodologies, Tools, and Applications explores the difficulties and challenges of securing user data and information on cloud platforms. It also examines the current approaches to cloud-based technologies and assesses the possibilities for future advancements in this field. Highlighting a range of topics such as cloud forensics, information privacy, and standardization and security in the cloud, this multi-volume book is ideally designed for IT specialists, web designers, computer engineers, software developers, academicians, researchers, and graduate-level students interested in cloud computing concepts and security. |
| cloud computing in healthcare case study: IoT and Cloud Computing-Based Healthcare Information Systems Anand Sharma, Hiren Kumar Deva Sarma, S. R. Biradar, 2023-06-16 This new volume features new and innovative research on the positive contributions of IoT and cloud technology in healthcare information systems for the improvement of patient care and disease management, highlighting the challenges and difficulties along with solutions and strategies. The authors focus on theories, systems, methods, algorithms, and applications and showcase the interface between e-health and communication technologies and their beneficial contribution to building efficient and secure healthcare information systems. Healthcare information systems involve data generation, compilation, arrangement, examination and synthesis, and communication and use. This incorporates frameworks that gather, store, maintain, and protect patients’ electronic medical information and records, providing an invaluable resource for supporting medical services strategies and choices. This volume discusses a multitude of diverse new information technologies in telemedicine, in security for healthcare systems, for medical image authentication, in pulse oximetry via Bluetooth, for virus detection via smartphones, for tumor extraction via extreme learning machine and k-means clustering, for the detection of cancerous cells, for music therapy for mental health purposes, and much more. |
| cloud computing in healthcare case study: Operations Research and Health Care Margaret L. Brandeau, Francois Sainfort, William P. Pierskalla, 2006-04-04 In both rich and poor nations, public resources for health care are inadequate to meet demand. Policy makers and health care providers must determine how to provide the most effective health care to citizens using the limited resources that are available. This chapter describes current and future challenges in the delivery of health care, and outlines the role that operations research (OR) models can play in helping to solve those problems. The chapter concludes with an overview of this book – its intended audience, the areas covered, and a description of the subsequent chapters. KEY WORDS Health care delivery, Health care planning HEALTH CARE DELIVERY: PROBLEMS AND CHALLENGES 3 1.1 WORLDWIDE HEALTH: THE PAST 50 YEARS Human health has improved significantly in the last 50 years. In 1950, global life expectancy was 46 years [1]. That figure rose to 61 years by 1980 and to 67 years by 1998 [2]. Much of these gains occurred in low- and middle-income countries, and were due in large part to improved nutrition and sanitation, medical innovations, and improvements in public health infrastructure. |
| cloud computing in healthcare case study: Fog Computing for Healthcare 4.0 Environments Sudeep Tanwar, 2020-08-02 This book provides an analysis of the role of fog computing, cloud computing, and Internet of Things in providing uninterrupted context-aware services as they relate to Healthcare 4.0. The book considers a three-layer patient-driven healthcare architecture for real-time data collection, processing, and transmission. It gives insight to the readers for the applicability of fog devices and gateways in Healthcare 4.0 environments for current and future applications. It also considers aspects required to manage the complexity of fog computing for Healthcare 4.0 and also develops a comprehensive taxonomy. |
| cloud computing in healthcare case study: Federal Cloud Computing Matthew Metheny, 2012-12-31 Federal Cloud Computing: The Definitive Guide for Cloud Service Providers offers an in-depth look at topics surrounding federal cloud computing within the federal government, including the Federal Cloud Computing Strategy, Cloud Computing Standards, Security and Privacy, and Security Automation. You will learn the basics of the NIST risk management framework (RMF) with a specific focus on cloud computing environments, all aspects of the Federal Risk and Authorization Management Program (FedRAMP) process, and steps for cost-effectively implementing the Assessment and Authorization (A&A) process, as well as strategies for implementing Continuous Monitoring, enabling the Cloud Service Provider to address the FedRAMP requirement on an ongoing basis. - Provides a common understanding of the federal requirements as they apply to cloud computing - Provides a targeted and cost-effective approach for applying the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF) - Provides both technical and non-technical perspectives of the Federal Assessment and Authorization (A&A) process that speaks across the organization |
| cloud computing in healthcare case study: Study Guide to Secure Cloud Computing , 2024-10-26 Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| cloud computing in healthcare case study: Advancing Medical Practice through Technology: Applications for Healthcare Delivery, Management, and Quality Rodrigues, Joel J.P.C., 2013-10-31 Medical practitioners are continuing to advance their knowledge of the latest technologies in order to keep up with the opportunities for faster and more reliable treatments for patients. Advancing Medical Practice through Technology: Applications for Healthcare Delivery, Management, and Quality focuses on the latest medical practices through the utilization of technologies and innovative concepts. This book is an essential reference source for researchers, academics, and industry professionals interested in the latest advancements in the healthcare, biomedicine, and medical communications fields. |
| cloud computing in healthcare case study: Security in Smart Cities: Models, Applications, and Challenges Aboul Ella Hassanien, Mohamed Elhoseny, Syed Hassan Ahmed, Amit Kumar Singh, 2018-11-04 This book offers an essential guide to IoT Security, Smart Cities, IoT Applications, etc. In addition, it presents a structured introduction to the subject of destination marketing and an exhaustive review on the challenges of information security in smart and intelligent applications, especially for IoT and big data contexts. Highlighting the latest research on security in smart cities, it addresses essential models, applications, and challenges. Written in plain and straightforward language, the book offers a self-contained resource for readers with no prior background in the field. Primarily intended for students in Information Security and IoT applications (including smart cities systems and data heterogeneity), it will also greatly benefit academic researchers, IT professionals, policymakers and legislators. It is well suited as a reference book for both undergraduate and graduate courses on information security approaches, the Internet of Things, and real-world intelligent applications. |
| cloud computing in healthcare case study: Green Computing and Predictive Analytics for Healthcare Sourav Banerjee, Chinmay Chakraborty, Kousik Dasgupta, 2020-12-10 Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and technologies. The rapid growth of the population is a challenging issue in maintaining and monitoring various experiences of quality of service in healthcare. The coherent usage of these limited resources in connection with optimum energy consumption has been becoming more important. The major healthcare nodes are gradually becoming Internet of Things-enabled, and sensors, work data and the involvement of networking are creating smart campuses and smart houses. The book includes chapters on the Internet of Things and Big Data technologies. Features: Biomedical data monitoring under the Internet of Things Environment data sensing and analyzing Big data analytics and clustering Machine learning techniques for sudden cardiac death prediction Robust brain tissue segmentation Energy-efficient and green Internet of Things for healthcare applications Blockchain technology for the healthcare Internet of Things Advanced healthcare for domestic medical tourism system Edge computing for data analytics This book on Green Computing and Predictive Analytics for Healthcare aims to promote and facilitate the exchange of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a master’s course in biomedical engineering. This book will also present new methods for medical data evaluation and the diagnosis of different diseases to improve quality-of-life in general and for better integration of Internet of Things into society. Dr. Sourav Banerjee is an Assistant Professor at the Department of Computer Science and Engineering of Kalyani Government Engineering College, Kalyani, West Bengal, India. His research interests include Big Data, Cloud Computing, Distributed Computing and Mobile Communications. Dr. Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India. His main research interests include the Internet of Medical Things, WBAN, Wireless Networks, Telemedicine, m-Health/e-Health and Medical Imaging. Dr. Kousik Dasgupta is an Assistant Professor at the Department of Computer Science and Engineering, Kalyani Government Engineering College, India. His research interests include Computer Vision, AI/ML, Cloud Computing, Big Data and Security. |
| cloud computing in healthcare case study: Handbook of Smart Materials, Technologies, and Devices Chaudhery Mustansar Hussain, Paolo Di Sia, 2022-11-09 This handbook brings together technical expertise, conceptual background, applications, and societal aspects of Industry 4.0: the evolution of automation and data exchange in fabrication technologies, materials processing, and device manufacturing at both experimental and theoretical model scales. The book assembles all the aspects of Industry 4.0, starting from the emergence of the concept to the consequences of its progression. Drawing on expert contributors from around the world, the volume details the technologies that sparked the fourth revolution and illustrates their characteristics, potential, and methods of use in the industrial and societal domains. In addition, important topics such as ethics, privacy and security are considered in a reality where all data is shared and saved remotely. The collection of contribution serve a very broad audience working in the fields of science and engineering, chemical engineering, materials science, nanotechnology, energy, environment, green chemistry, sustainability, electrical and electronic engineering, solid-state physics, surface science, aerosol technology, chemistry, colloid science, device engineering, and computer technology. This handbook ideal reference libraries in universities and industrial institutions, government and independent institutes, individual research groups and scientists. |
| cloud computing in healthcare case study: Fog Data Analytics for IoT Applications Sudeep Tanwar, 2020-08-25 This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy. |
| cloud computing in healthcare case study: Unifying the Applications and Foundations of Biomedical and Health Informatics J. Mantas, A. Hasman, G. Gallos, 2016-07-21 Informatics and technology have become an intrinsic part of healthcare management in recent years; it is almost impossible to imagine a modern healthcare system without them. This book presents the proceedings of the 14th annual International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), held in Athens, Greece, in July 2016. The conference treats the field of biomedical informatics in a very broad framework, and the 68 full papers included here examine the research and applications outcomes of informatics from cell to population, including a number of technologies such as imaging, sensors, mobile communications, biomedical equipment and management, as well as legal and societal issues related to the application of health informatics. The book is divided into sections: Biomedical Technology; Clinical Informatics; E-learning and Education; Formalisation of Knowledge, Ontologies, Clinical Guidelines and Standards of Healthcare; Health Informatics; Healthcare Management and Public Health; mHealth and Telemedicine; and Social Media and Health. Also included are two keynote speeches. Covering a wide spectrum of applications, the book will be of interest to all those working in the design, management and delivery of healthcare services whose work involves the development or use of biomedical informatics. |
| cloud computing in healthcare case study: Modern Techniques in Biosensors Gorachand Dutta, Arindam Biswas, Amlan Chakrabarti, 2021-01-04 This book focusses on recent advances and different research issues in the biosensor technology and also presents theoretical, methodological, well-established and validated empirical work dealing with the technology. The book addresses challenges for the development of a point-of-care test platform. The book also describes printed chip-based assay (Lab-on-a-Chip, Lab-on-a-PCB) for rapid, inexpensive, multiplex detection of disease biomarkers in real samples. It aims to overcome existing barriers for Lab-on-a-Chip commercialization (lack of cost effective mass manufacturing methods, self-contained, fully autonomous operation and user-friendliness). Different advanced techniques including electrochemical, optical, mass, colorimetric and signal amplification strategies describe early stage disease diagnosis. The book gathers scientific and technological novelties and advancements already developed or under development in the academic and research communities. It covers a vast audience from basic science to engineering and technology experts and learners. |
| cloud computing in healthcare case study: Internet of Things for Healthcare Technologies Chinmay Chakraborty, Amit Banerjee, Maheshkumar H. Kolekar, Lalit Garg, Basabi Chakraborty, 2020-06-08 This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life. |
| cloud computing in healthcare case study: Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies Wynn, Martin George, 2021-10-15 Companies from various sectors of the economy are confronted with the new phenomenon of digital transformation and are faced with the challenge of formulating and implementing a company-wide strategy to incorporate what are often viewed as “disruptive” technologies. These technologies are sometimes associated with significant and extremely rapid change, in some cases with even the replacement of established business models. Many of these technologies have been deployed in unison by leading-edge companies acting as the catalyst for significant process change and people skills enhancement. The Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies examines the phenomenon of digital transformation and the impact of disruptive technologies through the lens of industry case studies where different combinations of these new technologies have been deployed and incorporated into enterprise IT and business strategies. Covering topics including chatbot implementation, multinational companies, cloud computing, internet of things, artificial intelligence, big data and analytics, immersive technologies, and social media, this book is essential for senior management, IT managers, technologists, computer scientists, cybersecurity analysts, academicians, researchers, IT consultancies, professors, and students. |
| cloud computing in healthcare case study: ECIME 2014 Proceedings of the 8th European Conference on IS Management and Evaluation Steven de Haes, 2014 |
| cloud computing in healthcare case study: Computational Intelligence in Healthcare Meenu Gupta, Shakeel Ahmed, Rakesh Kumar, Chadi Altrjman, 2023-02-10 Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies. |
| cloud computing in healthcare case study: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV Abdelkader Hameurlain, Josef Küng, Roland Wagner, Sherif Sakr, Imran Razzak, Alshammari Riyad, 2017-11-09 This volume, the 35th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five fully-revised selected regular papers focusing on data quality, social-data artifacts, data privacy, predictive models, and e-health. Specifically, the five papers present and discuss a data-quality framework for the Estonian public sector; a data-driven approach to bridging the gap between the business and social worlds; privacy-preserving querying on privately encrypted data in the cloud; algorithms for the prediction of norovirus concentration in drinking water; and cloud computing in healthcare organizations in Saudi Arabia. |
| cloud computing in healthcare case study: Social Networks: Analysis and Case Studies Şule Gündüz-Öğüdücü, A. Şima Etaner-Uyar, 2014-07-11 The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many opportunities in different application domains. Forming a bridge between theory and applications makes this work appealing to both academics and practitioners as well as graduate students. |
| cloud computing in healthcare case study: Research Anthology on Edge Computing Protocols, Applications, and Integration Management Association, Information Resources, 2022-04-01 Edge computing is quickly becoming an important technology throughout a number of fields as businesses and industries alike embrace the benefits it can have in their companies. The streamlining of data is crucial for the development and evolution of businesses in order to keep up with competition and improve functions overall. In order to appropriately utilize edge computing to its full potential, further study is required to examine the potential pitfalls and opportunities of this innovative technology. The Research Anthology on Edge Computing Protocols, Applications, and Integration establishes critical research on the current uses, innovations, and challenges of edge computing across disciplines. The text highlights the history of edge computing and how it has been adapted over time to improve industries. Covering a range of topics such as bandwidth, data centers, and security, this major reference work is ideal for industry professionals, computer scientists, engineers, practitioners, researchers, academicians, scholars, instructors, and students. |
| cloud computing in healthcare case study: Informatics and Nursing Kristi Sanborn Miller, 2024-10-08 Informatics and Nursing: Opportunities and Challenges, 7th Edition, helps you keep pace with a rapidly changing field while cultivating your students' communication and information literacy skillset in informatics now, identified as a core competency by the AACN for all nursing levels. Updates throughout this streamlined edition encourage patient-centered care and reflect the latest advances in artificial intelligence, telehealth, and home monitoring accompanied by powerful learning tools that help you hone clinical judgment and ready students for practice. |
| cloud computing in healthcare case study: Contemporary Applications of Mobile Computing in Healthcare Settings Rajkumar, R., 2018-05-19 The use of mobile devices in medical care settings and by wellness professionals has influenced and changed many aspects of clinical practice. Mobile devices have become ubiquitous in these settings, leading to rapid growth in the development of medical apps. Contemporary Applications of Mobile Computing in Healthcare Settings is a critical scholarly resource that explores the benefits of using mobile devices and apps in the medical field and examines the shortcomings in the validation practices regarding these technologies. Featuring coverage on a wide range of topics such as smart healthcare, patient surveillance, and body fitness monitoring, this book is geared toward academicians, nurses, medical professionals, practitioners, and students seeking current research on the quality and safety of the apps currently available for use by medical care professionals. |
| cloud computing in healthcare case study: Delivery and Adoption of Cloud Computing Services in Contemporary Organizations Chang, Victor, 2015-03-31 The ubiquity of technology has not only brought the need for computer knowledge to every aspect of the modern business world; it has also increased our need to safely store the data we are now creating at a rate never experienced before. Delivery and Adoption of Cloud Computing Services in Contemporary Organizations brings together the best practices for storing massive amounts of data. Highlighting ways cloud services can work effectively in production and in real time, this book is an essential reference source for professionals and academics of various disciplines, such as computer science, consulting, information technology, information and communication sciences, healthcare, and finance. |
| cloud computing in healthcare case study: Artificial intelligence, Big data, blockchain and 5G for the digital transformation of the healthcare industry Patricia Ordonez de Pablos, Xi Zhang, 2023-11-24 ?Artificial intelligence, Big data, Blockchain and 5G for Digital Transformation of Healthcare Industry provides insights on the successes and failures in the field of IT and digital health during the pandemic and analyzes the lessons from these cases. The social and economic recovery after the pandemic requires urgent solutions for citizens, companies and economies around the world. From research centers, labs, hospitals and academia, researchers and academics are working collaboratively to explore new views and frameworks to develop solutions for emergent problems. Artificial intelligence, Big data, blockchain and 5G for digital transformation of healthcare industry includes cases highlighting the application of digital healthcare solutions from around the world. In 23 Chapters this book delivers a collection of relevant innovative research on digital healthcare, with a three mains goals: 1) study the successes and failures in the field of IT and digital health during the pandemic, and analyze the lessons from these cases; 2) discuss the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain and 5G; and 3) discuss implications for main stakeholders (patients, doctors, IT experts, directors, policy managers. The global outbreak caused by covid-19 caused global disruption in societies, healthcare systems, and economies around the world. This book provides insight to Researchers, clinicians, CEOs and policy makers who need to learn from the failures and successes and exploit the potential of advanced information technologies to build stronger healthcare systems, better quality healthcare services, and more resilient societies. Delivers a collection of relevant innovative research on digital healthcare Discusses the latest advances in the field of digital healthcare, with a special focus on Artificial Intelligence, Big Data, Blockchain, and 5G Provides current lessons learned from the pandemic Includes case studies and experiences from around the world, including Asia, Europe, Gulf Region, Latin America, the United States, and more |
| cloud computing in healthcare case study: Cloud Computing in Medical Imaging Ayman El-Baz, Jasjit S. Suri, 2023-03-14 Today’s healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis. |
| cloud computing in healthcare case study: IoT and ICT for Healthcare Applications Nishu Gupta, Sara Paiva, 2020-08-12 This book provides an insight on the importance that Internet of Things (IoT) and Information and Communication Technology (ICT) solutions can have in taking care of people's health. Key features of this book present the recent and emerging developments in various specializations in curing health problems and finding their solutions by incorporating IoT and ICT. This book presents useful IoT and ICT applications and architectures that cater to their improved healthcare requirements. Topics include in-home healthcare services based on the Internet-of-Things; RFID technology for IoT based personal healthcare; Real-time reporting and monitoring; Interfacing devices to IoT; Smart medical services; Embedded gateway configuration (EGC); Health monitoring infrastructure; and more. Features a number of practical solutions and applications of IoT and ICT on healthcare; Includes application domains such as communication technology and electronic materials and devices; Applies to researchers, academics, students, and practitioners around the world. |
| cloud computing in healthcare case study: Becoming a cyber security architect Kris Hermans, 2023-09-05 In today's interconnected world, the need for robust cybersecurity architecture has never been more critical. Becoming a Cyber Security Architect by Kris Hermans is your comprehensive guide to mastering the art of designing and building secure digital infrastructure. Whether you're an aspiring cybersecurity professional or an experienced practitioner, this book equips you with the knowledge and skills to become a trusted Cyber Security Architect. Inside this transformative book, you will: Gain a deep understanding of the principles and practices involved in cybersecurity architecture, from risk assessment and threat modelling to secure network design and secure software development. Learn practical insights into designing and implementing secure network architectures, developing secure software systems, and implementing robust security controls. Explore real-world case studies and practical examples that demonstrate effective cybersecurity architecture in action, enabling you to apply best practices to real projects. Stay updated with the latest industry standards, regulations, and emerging trends in cybersecurity architecture, ensuring your skills are aligned with industry demands. Authored by Kris Hermans, a highly respected authority in the field, Becoming a Cyber Security Architect combines extensive practical experience with a deep understanding of cybersecurity principles. Kris's expertise shines through as they guide readers through the intricacies of cybersecurity architecture, empowering them to design and build secure digital infrastructure. Whether you're an aspiring Cyber Security Architect looking to understand the role and gain practical skills or an experienced professional seeking to enhance your expertise, this book is your essential resource. Business owners, IT professionals, and managers will also find valuable insights to ensure the security of their digital infrastructure. |
| cloud computing in healthcare case study: Internet of Things and Sensors Networks in 5G Wireless Communications Lei Zhang, Guodong Zhao, Muhammad Ali Imran , 2020-01-24 The Internet of Things (IoT) has attracted much attention from society, industry and academia as a promising technology that can enhance day to day activities, and the creation of new business models, products and services, and serve as a broad source of research topics and ideas. A future digital society is envisioned, composed of numerous wireless connected sensors and devices. Driven by huge demand, the massive IoT (mIoT) or massive machine type communication (mMTC) has been identified as one of the three main communication scenarios for 5G. In addition to connectivity, computing and storage and data management are also long-standing issues for low-cost devices and sensors. The book is a collection of outstanding technical research and industrial papers covering new research results, with a wide range of features within the 5G-and-beyond framework. It provides a range of discussions of the major research challenges and achievements within this topic. |
| cloud computing in healthcare case study: Health Care Information Systems Karen A. Wager, Frances W. Lee, John P. Glaser, 2017-03-27 BESTSELLING GUIDE, UPDATED WITH A NEW INFORMATION FOR TODAY'S HEALTH CARE ENVIRONMENT Health Care Information Systems is the newest version of the acclaimed text that offers the fundamental knowledge and tools needed to manage information and information resources effectively within a wide variety of health care organizations. It reviews the major environmental forces that shape the national health information landscape and offers guidance on the implementation, evaluation, and management of health care information systems. It also reviews relevant laws, regulations, and standards and explores the most pressing issues pertinent to senior level managers. It covers: Proven strategies for successfully acquiring and implementing health information systems. Efficient methods for assessing the value of a system. Changes in payment reform initiatives. New information on the role of information systems in managing in population health. A wealth of updated case studies of organizations experiencing management-related system challenges. |
| cloud computing in healthcare case study: Virtual and Mobile Healthcare: Breakthroughs in Research and Practice Management Association, Information Resources, 2019-09-06 One of the primary topics at the center of discussion, and very often debate, between industry professionals, government officials, and the general public is the current healthcare system and the potential for an overhaul of its processes and services. Many organizations concerned for the long-term care of patients wish to see new strategies, practices, and organizational tools developed to optimize healthcare systems all over the world. One of the central engines of the current shift toward reorientation of healthcare services is virtual and mobile healthcare. Virtual and Mobile Healthcare: Breakthroughs in Research and Practice explores the trends, challenges, and issues related to the emergence of mobile and virtual healthcare. The book also examines how mobile technologies can best be used for the benefit of both doctors and their patients. Highlighting a range of topics such as smart healthcare, electronic health records, and m-health, this publication is an ideal reference source for medical professionals, healthcare administrators, doctors, nurses, practitioners, and researchers in all areas of the medical field. |
| cloud computing in healthcare case study: Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry Khang, Alex, 2024-03-04 While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide. |
| cloud computing in healthcare case study: Adaptive Health Management Information Systems: Concepts, Cases, and Practical Applications Joseph Tan, 2019-09-17 Adaptive Health Management Information Systems, Fourth Edition is a thorough resource for a broad range of healthcare professionals–from informaticians, physicians and nurses, to pharmacists, public health and allied health professionals–who need to keep pace the digital transformation of health care. Wholly revised, updated, and expanded in scope, the fourth edition covers the latest developments in the field of health management information systems (HMIS) including big data analytics and machine learning in health care; precision medicine; digital health commercialization; supply chain management; informatics for pharmacy and public health; digital health leadership; cybersecurity; and social media analytics. |
| cloud computing in healthcare case study: Mastering Beyond Perimeter Security Cybellium Ltd, 2023-09-06 Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books. |
| cloud computing in healthcare case study: ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data Marija Mihova, |
| cloud computing in healthcare case study: Digital Disruption in Healthcare Nilmini Wickramasinghe, Suresh Chalasani, Elliot Sloane, 2022-06-23 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. |
Application of Cloud Computing in Healthcare A …
Abstract—A new approach to successfully offering IT services is provided by cloud computing. The …
Impact of Cloud Computing on Healthcare - Object Man…
Version 2.0 of this paper provides a fresh perspective on the current market dynamics, challenges and benefits of …
Role of Serverless Computing in Healthcare Sy…
This paper presents four case studies that have been success-fully adapted serverless architecture for health care …
Prescription for cloud transformation - KPMG
Embracing cloud technologies is essential for success in today’s patient-centric, outcome-driven healthcare …
Assessing the Determinants of Cloud Computing Service…
Utilizing cloud services in the healthcare sector is a flexible solution to improve the performance of an organization as …
Fog Computing in Healthcare Internet of Things: A Case S…
In this paper, we enhance such a health monitoring system by exploiting the concept of fog computing at smart …
Transition to Cloud Computing in Healthcare Inf…
The focus of this thesis is to explore the current state of the art of applications of cloud computing in the healthcare …
IOT ENABLED CLOUD BASED HEALTHCARE SYSTEM USI…
Fog computing or fog network is designed to support distributed and decentralized computing platform by …
Application of Cloud Computing in Healthcare A …
Abstract—A new approach to successfully offering IT services is provided by cloud computing. The body of research implies that cloud technology can raise the quality of services across a …
Impact of Cloud Computing on Healthcare - Object …
Version 2.0 of this paper provides a fresh perspective on the current market dynamics, challenges and benefits of cloud computing on healthcare IT. It also highlights the new sets of services …
Role of Serverless Computing in Healthcare Systems: Case …
This paper presents four case studies that have been success-fully adapted serverless architecture for health care systems, where the health services are provided as functional units …
Prescription for cloud transformation - KPMG
Embracing cloud technologies is essential for success in today’s patient-centric, outcome-driven healthcare environment.
Assessing the Determinants of Cloud Computing Services …
Utilizing cloud services in the healthcare sector is a flexible solution to improve the performance of an organization as it can provide numerous features such as self-service, ubiquitous network …
Fog Computing in Healthcare Internet of Things: A Case …
In this paper, we enhance such a health monitoring system by exploiting the concept of fog computing at smart gateways providing advanced techniques and services such as embedded …
Transition to Cloud Computing in Healthcare Information …
The focus of this thesis is to explore the current state of the art of applications of cloud computing in the healthcare information technology industry. The goal is to provide guidelines for people …
IOT ENABLED CLOUD BASED HEALTHCARE SYSTEM …
Fog computing or fog network is designed to support distributed and decentralized computing platform by reducing the burden on cloud computing. Using IoT infrastructure many devices …
Study of Cloud Computing in HealthCare Industry - arXiv.org
According to the research firm Markets and Markets, The cloud computing market in the health care sector is expected to grow by 2017 to $5.4 billion.Hence from this survey it can be …
Proposed Healthcare Architecture using Cloud Computing …
C. Cloud Computing for Healthcare Applications By using cloud computing, it provides users with various benefits, including reducing the waste of both information system resources and …
Cloud computing in healthcare: A comprehensive review of …
Cloud computing is revolutionizing the healthcare industry by offering scalable, flexible, and cost-effective solutions for data storage, analysis, and access to healthcare services. This …
GE Healthcare Launches Health Cloud on AWS, Improving …
GE Healthcare plans to expand its use of AWS services as it expands the GE Health Cloud. For instance, the company is taking advantage of Amazon SageMaker, a managed service for …
Case Study: Healthcare In-depth and actionable cloud …
During a 12-week cloud assessment program, we analyzed the suitability of the client’s applications and infrastructure for cloud migration. Our approach included three phases: …
The Role of Data Analytics, AI and Cloud Computing in …
Abstract— The integration of data analytics, artificial intelligence (AI), and cloud computing has significantly impacted healthcare technologies, particularly in optimizing Medicaid services.
Cloud Computing in Healthcare Industries: Opportunities …
Cloud Computing has eased the access of applications and data from any worldwide location from any device with an internet connection. In this paper, the role of cloud computing in healthcare …
of healthcare in the cloud - Amazon Web Services, Inc.
The organisation believes technology holds the key to create sustainable models for healthcare. Supported by AWS, it uses big data to gain actionable, real-time insights that help simplify …
Why Mayo Clinic Is Embracing the Cloud and What This …
We examine fl Mayo Clinic’s transition as a case study that could apply to other large academic medical centers.
Study of Cloud Computing in HealthCare Industry - IJSER
According to the research firm Markets and Markets, The cloud computing market in the health care sector is expected to grow by 2017 to $5.4 billion.Hence from this survey it can be …
Role of Serverless Computing in Healthcare Systems: Case …
This paper presents four case studies that have been success-fully adapted serverless architecture for health care systems, where the health services are provided as functional units …
Improving healthcare application scalability through …
By examining the characteristics of microservices and their applicability within the cloud environment, this study aims to provide healthcare organizations with insights into optimizing …
