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Healthcare Informatics For Fighting Covid 19 And Future Epidemics
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Book Synopsis Healthcare Informatics for Fighting COVID-19 and Future Epidemics by : Lalit Garg
Download or read book Healthcare Informatics for Fighting COVID-19 and Future Epidemics written by Lalit Garg and published by Springer Nature. This book was released on 2021-09-01 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.
Book Synopsis Health Informatics and Patient Safety in Times of Crisis by : Vajjhala, Narasimha Rao
Download or read book Health Informatics and Patient Safety in Times of Crisis written by Vajjhala, Narasimha Rao and published by IGI Global. This book was released on 2022-12-09 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has highlighted the importance of health data, technology, and access to health informatics. The applications of several information technologies in the context of healthcare are proving instrumental in pandemic control. These technologies were already actively used in the healthcare sector before the pandemic. However, the pandemic has resulted in researchers reassessing how these technologies could have better assisted with the aftermath of the COVID-19 pandemic and how they may mitigate the threat of future pandemics. Health Informatics and Patient Safety in Times of Crisis provides a fresh perspective on how healthcare informatics has managed the current pandemic and how improved healthcare informatics could help in a future crisis. Covering topics such as digital public health, misinformation, and knowledge management, this premier reference source is an indispensable resource for medical professionals, hospital administrators, public health officials, community leaders, international leaders, libraries, medical students, medical professors, researchers, and academicians.
Book Synopsis Health Informatics and Technological Solutions for Coronavirus (COVID-19) by : Suman Lata Tripathi
Download or read book Health Informatics and Technological Solutions for Coronavirus (COVID-19) written by Suman Lata Tripathi and published by CRC Press. This book was released on 2021-04-13 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents statistical information, causes and impacts of coronavirus on populations, economics, and environment. The text includes machine learning and deep learning techniques to understand exponential behavior as well as predicting the future reachability of the COVID-19 outbreak. It discusses important concepts including smart sensors for early stage diagnosis, diagnosis of COVID-19 using low power IoT-enabled systems, biomedical imaging and sensor fusion, and electronic solutions for diagnosis, monitoring, and treatment of diseases. Aimed at graduate students and professionals in the field of electrical engineering, electronics and communications engineering, biomedical engineering and nanomaterials, this book discusses fundamental aspects and latest research in the field of COVID-19 covers diagnostics techniques in detail provides overview of the symptoms, preventions, and treatments related to COVID-19 discusses android-based mobile applications helpful in spreading awareness of COVID-19
Book Synopsis Context Sensitive Health Informatics: The Role of Informatics in Global Pandemics by : R. Marcilly
Download or read book Context Sensitive Health Informatics: The Role of Informatics in Global Pandemics written by R. Marcilly and published by IOS Press. This book was released on 2021-12-03 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has disrupted many global industries, none more so than healthcare, and has necessitated the need for health informatics innovations that can bridge time and space to provide timely care. It has also emphasized the need for a system-level informatics infrastructure to support the healthcare management of populations at a macro level, while also providing the necessary support for front line care delivery at a micro level. However, the need for change at a fast pace does not remove the need for an evidence base to support health technologies. This raises fundamental questions about how the informatics tools required can be delivered at pace without compromising the quality and safety of such tools. This book presents papers from the biennial conference on Context Sensitive Health Informatics, CSHI 2021, held as a virtual event on 15 and 16 November 2021. The theme of the 2021 conference was: The Role of Informatics in Global Pandemics, and this book includes 18 papers on a variety of topics, divided into 4 sections: health information management in the COVID-19 context; implementation of new practices and technologies in healthcare; sociotechnical analysis of task performance and workload in healthcare; and innovations in design and evaluation methods of health technologies. The book provides an overview of innovative health information systems rooted in robust scientific research on context and health information technology, and will be of interest to all those working in the field of health informatics.
Book Synopsis The Importance of Health Informatics in Public Health during a Pandemic by : J. Mantas
Download or read book The Importance of Health Informatics in Public Health during a Pandemic written by J. Mantas and published by IOS Press. This book was released on 2020-07-24 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has increased the focus on health informatics and healthcare technology for policy makers and healthcare professionals worldwide. This book contains the 110 papers (from 160 submissions) accepted for the 18th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2020), held virtually in Athens, Greece, from 3 – 5 July 2020. The conference attracts scientists working in the field of Biomedical and Health Informatics from all continents, and this year it was held as a Virtual Conference, by means of teleconferencing, due to the COVID-19 pandemic and the consequent lockdown in many countries around the world. The call for papers for the conference started in December 2019, when signs of the new virus infection were not yet evident, so early submissions were on the usual topics as announced. But papers submitted after mid-March were mostly focused on the first results of the pandemic analysis with respect to informatics in different countries and with different perspectives of the spread of the virus and its influence on public health across the world. This book therefore includes papers on the topic of the COVID-19 pandemic in relation to informatics reporting from hospitals and institutions from around the world, including South Korea, Europe, and the USA. The book encompasses the field of biomedical and health informatics in a very broad framework, and the timely inclusion of papers on the current pandemic will make it of particular interest to all those involved in the provision of healthcare everywhere.
Book Synopsis COVID-19 in Clinical Practice by : Flavio Tangianu
Download or read book COVID-19 in Clinical Practice written by Flavio Tangianu and published by Springer Nature. This book was released on 2021-08-21 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book assesses the main features of COVID-19 from a clinical point of view, based on observations made during the disease epidemic in Northern Italy, one of the most affected areas in the world (the region has been the epicenter of the global pandemic for more than a month), and the first region outside China facing overwhelming numbers of cases. With no practical guidelines in place, Italian doctors were called to fight against an unknown disease. For the first time in modern history, healthcare workers and decision-makers had to find rapid solutions to a life-changing health crisis with no evidence-based recommendations or procedures in place to guide their actions. Sharing the lessons learned from this experience, and offering practical tips on implementing future programs for pandemic preparedness, the book is a valuable tool for medical practitioners and health-policy-makers wanting to better understand the complexity of the current and future global health crises.
Book Synopsis Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis by : Subhendu Kumar Pani
Download or read book Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis written by Subhendu Kumar Pani and published by Springer Nature. This book was released on 2021-12-13 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..
Book Synopsis Data Science for COVID-19 by : Utku Kose
Download or read book Data Science for COVID-19 written by Utku Kose and published by Academic Press. This book was released on 2021-10-22 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and the treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including the wide variety of impacts the virus is having on societies and medical practice Presents insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications Includes real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, and insights on future pandemics
Book Synopsis Modernizing Global Health Security to Prevent, Detect, and Respond by : Scott J.N. McNabb
Download or read book Modernizing Global Health Security to Prevent, Detect, and Respond written by Scott J.N. McNabb and published by Elsevier. This book was released on 2023-10-19 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modernizing Global Health Security to Prevent, Detect, and Respond explores—through thoughtful, thorough, and diverse scientific review and analyses—factors that have led to recent public health emergencies and offers a vision for a better protected global environment. The authors consider the history of global health security, governance, and legal structures with an eye toward novel approaches for the present and future. The book presents a vision for a more protected and safer global public health future (with the actions needed to achieve it) to prevent, detect, and respond to (re)emerging threats. Its aim is to chart a way forward with the understanding that future pandemics must and can be prevented. Major topics examined from a public health perspective include global health security; the growing concept of One Health; epidemic and pandemic prevention, detection, and response; reviews of past (e.g., Ebola, MERS-CoV, Zika, and COVID-19) public health emergencies of international concern; roles of information and communication technology; humanmade public health threats; and legal and ethical issues (e.g., viral sovereignty, trust, and transparency). Modernizing Global Health Security to Prevent, Detect, and Respond provides the academic substance and quality for researchers and practitioners to deeply understand the why of health emergencies, and most importantly—what we can and should do now to prepare. Highlights (re)emerging past and future threats to public health (e.g., climate change, antibiotic resistance, failures of societal sectors to work together) Discusses new visions for global health security in each chapter Considers how to leverage technological innovations to advance public health Includes practical examples through case studies from around the world
Book Synopsis Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches by : Aboul Ella Hassanien
Download or read book Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2021-03-10 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one of the first books that deal with the COVID-19 pandemic. COVID-19 pandemic has affected countries all over the world and has made a significant impact on daily life and healthcare facilities and treatment systems. The book covers the main recent emerging technologies that are related to the COVID-19 crisis. The technologies that are included in this book play a significant role in tackling COVID-19 in the future. The scope of this book is to cover all advanced emerging technologies and artificial intelligence techniques to fight against COVID-19 pandemic.
Book Synopsis Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions by : Patricia Ordonez de Pablos
Download or read book Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions written by Patricia Ordonez de Pablos and published by Academic Press. This book was released on 2022-03-11 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions provides comprehensive knowledge and insights on the application of information technologies in the healthcare sector, sharing experiences from leading researchers and academics from around the world. The book presents innovative ideas, solutions and examples to deal with one of the major challenges of the world, a global problem with health, economic and political dimensions. Advanced information technologies can play a key role in solving problems generated by the COVID-19 outbreak. The book addresses how science, technology and innovation can provide advances and solutions to new global health challenges. This is a valuable resource for researchers, clinicians, healthcare workers, policymakers and members of the biomedical field who are interested in learning how digital technologies can help us avoid and solve global disease dissemination. Presents real-world cases with experiences of applications of healthcare solutions during the pandemic of COVID-19 Discusses new approaches, theories and tools developed during an unprecedented health situation and how they can be used afterwards Encompasses information on preparedness for future outbreaks to make less costly and more effective healthcare responses to crises
Book Synopsis Computational Intelligence for COVID-19 and Future Pandemics by : Utku Kose
Download or read book Computational Intelligence for COVID-19 and Future Pandemics written by Utku Kose and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.
Book Synopsis Artificial Intelligence for COVID-19 by : Diego Oliva
Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
Book Synopsis Leveraging Artificial Intelligence in Global Epidemics by : Le Gruenwald
Download or read book Leveraging Artificial Intelligence in Global Epidemics written by Le Gruenwald and published by Academic Press. This book was released on 2021-07-28 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing
Book Synopsis Lessons from COVID-19 by : Arturas Kaklauskas
Download or read book Lessons from COVID-19 written by Arturas Kaklauskas and published by Academic Press. This book was released on 2022-06-18 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lessons from COVID-19: Impact on Healthcare Systems and Technology uncovers the impact that COVID-19 has made on healthcare and technology industries. State-of-the-art case studies, empirical research, and new trends in technology-mediated solution are discussed to help inform and guide readers in understanding the effects that the COVID-19 outbreak has had across healthcare and technology industries. The book discusses challenges to identify vaccines, changes in legislation on clinical trials and re-purposing of licensed drugs, effects on primary healthcare, best practices adopted by different countries to control the pandemic, and different effects on patients within diverse age groups and comorbidities. In addition, the book covers technology-mediated solutions and infrastructures applied, digital transformations, modeling techniques, statistical projections, and the benefits and use of cloud computing and artificial intelligence. This is a valuable resource for healthcare professionals, medical doctors, researchers and graduate students from both biomedical and technological fields who are interested in learning more about the use of new technologies to fight a pandemic. Discusses the effects of COVID-19 on healthcare and technology Presents case studies and state-of-the-art research and technologies to help readers effectively understand the effects of COVID-19 Empowers researchers to work on effective hypothesis to test the disruptions and changes that have occurred as a result of COVID-19 Bridges practical and theoretical gaps in terms of lessons learned during COVID-19 in the healthcare and technology sectors
Book Synopsis Data Science for COVID-19 Volume 1 by : Utku Kose
Download or read book Data Science for COVID-19 Volume 1 written by Utku Kose and published by Academic Press. This book was released on 2021-05-20 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions
Book Synopsis COVID-19 Pandemic - E-Book by : Jorge Hidalgo
Download or read book COVID-19 Pandemic - E-Book written by Jorge Hidalgo and published by Elsevier Health Sciences. This book was released on 2021-05-29 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad, global view of all aspects related to preparation for and management of SARS-CoV2, COVID-19 Pandemic: Lessons from the Frontline explores and challenges the basis of knowledge, the transmission of information, and the preparation and epidemiology tactics of healthcare systems worldwide. This timely and provocative volume presents real-world viewpoints from leaders in different areas of health management, who address questions such as: What will we do differently if another pandemic comes? Have we learned from our mistakes? Can we do better? This practical, wide-ranging approach also covers the problem of contrasting sources, health system preparedness, effective preparation of and protection offered to individual healthcare professionals, and the human tragedy surrounding the pandemic. Offers a global perspective on how the COVID-19 pandemic was handled, things that went wrong, and things that could be done differently in the future. Covers multiple aspects of the pandemic, including disaster preparedness; perspectives from patients, families, and healthcare providers; inequity of medical resources; risk exposure on the frontline; government decision making; lockdowns; the role of politics; the burden of COVID-19 in various countries worldwide; and future directions. Reflects on the role of professional societies and NGOs in advising governments and supranational organizations. Features a diverse list of contributors, including health decision makers and frontline healthcare personnel.
