Advertisement
| computer science and healthcare: Health Informatics in the Cloud Mark L. Braunstein, 2012-10-16 Despite its high cost, the US healthcare system produces relatively short life spans, and is wasteful, inefficient and has serious safety and quality issues. While other industries have surmounted similar challenges by transforming themselves through information technology, healthcare lags behind. Major reasons are that our approaches to care delivery and financial incentives were designed for a bygone era. Beyond that the technology offered to practitioners has often been overly expensive, poorly designed, overly proprietary, hard to implement and difficult to use. Spurred by a unique, one-time Federal stimulus and the new mobile, wireless and cloud technologies now available, this landscape is rapidly changing. To succeed going forward practitioners, and those interested in entering the field, need to understand the new driving forces and have a basic understanding of contemporary clinical informatics. Practitioners, in particular, need to understand the alternative technologies and approaches available for their use in individual patient care and more continuous management of their chronic disease patients. To efficiently meet these needs, this book provides an introduction to the rationale for care transformation through clinical informatics; its application to patient care outside of hospitals; and a look at its future. Key points are illustrated throughout by actual examples of open source and commercial health IT products and services. While written with practitioners and students entering the field of clinical informatics in mind, the book eschews technical terminology and is easily accessible by the lay reader not proficient in clinical medicine or information technology. |
| computer science and healthcare: Using Computer Science in Health Care Careers Don Rauf, 2018-12-15 Smartphone apps can monitor your health. Three-D printing can make a prosthetic hand. Robotic exoskeletons allow paraplegics to stand and walk independently. Technology is transforming the world of healthcare. For those interested in pursuing a career in this field, coding and programming skills can open the doors to cutting-edge and high-paying opportunities. This book not only gives an overview of healthcare jobs that depend on computer science skills, but also provides information on the education and training needed to secure work that is challenging, innovative, and helping people lead better lives. |
| computer science and healthcare: Computer Science and Health Engineering in Health Services José Antonio Marmolejo-Saucedo, Pandian Vasant, Igor Litvinchev, Roman Rodriguez-Aguilar, Felix Martinez-Rios, 2021-02-25 This book constitutes the refereed post-conference proceedings of the 4th International Conference on Computer Science and Health Engineering in Health Services. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers presented were carefully reviewed and selected from 39 submissions. The papers highlight the latest research innovations and applications of algorithms designed for optimization applications within the fields of science, computer science, engineering, information technology, economics, and health systems. |
| computer science and healthcare: Computer Vision for Assistive Healthcare Leo Marco, Giovanni Maria Farinella, 2018-05-15 Computer Vision for Assistive Healthcare describes how advanced computer vision techniques provide tools to support common human needs, such as mental functioning, personal mobility, sensory functions, daily living activities, image processing, pattern recognition, machine learning and how language processing and computer graphics cooperate with robotics to provide such tools. Users will learn about the emerging computer vision techniques for supporting mental functioning, algorithms for analyzing human behavior, and how smart interfaces and virtual reality tools lead to the development of advanced rehabilitation systems able to perform human action and activity recognition. In addition, the book covers the technology behind intelligent wheelchairs, how computer vision technologies have the potential to assist blind people, and about the computer vision-based solutions recently employed for safety and health monitoring. - Gives the state-of-the-art computer vision techniques and tools for assistive healthcare - Includes a broad range of topic areas, ranging from image processing, pattern recognition, machine learning to robotics, natural language processing and computer graphics - Presents a wide range of application areas, ranging from mobility, sensory substitution, and safety and security, to mental and physical rehabilitation and training - Written by leading researchers in this growing field of research - Describes the outstanding research challenges that still need to be tackled, giving researchers good indicators of research opportunities |
| computer science and healthcare: Computational Technology for Effective Health Care National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Engaging the Computer Science Research Community in Health Care Informatics, 2009-02-24 Despite a strong commitment to delivering quality health care, persistent problems involving medical errors and ineffective treatment continue to plague the industry. Many of these problems are the consequence of poor information and technology (IT) capabilities, and most importantly, the lack cognitive IT support. Clinicians spend a great deal of time sifting through large amounts of raw data, when, ideally, IT systems would place raw data into context with current medical knowledge to provide clinicians with computer models that depict the health status of the patient. Computational Technology for Effective Health Care advocates re-balancing the portfolio of investments in health care IT to place a greater emphasis on providing cognitive support for health care providers, patients, and family caregivers; observing proven principles for success in designing and implementing IT; and accelerating research related to health care in the computer and social sciences and in health/biomedical informatics. Health care professionals, patient safety advocates, as well as IT specialists and engineers, will find this book a useful tool in preparation for crossing the health care IT chasm. |
| computer science and healthcare: Introduction to Computers for Healthcare Professionals Irene Makar Joos, Marjorie J. Smith, Ramona Nelson, 2010-10-25 Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition. An introductory computer literacy text for nurses and other healthcare students, Introduction to Computers for Healthcare Professionals explains hardware, popular software programs, operating systems, and computer assisted communication. The Fifth Edition of this best-selling text has been revised and now includes content on on online storage, communication and online learning including info on PDA's, iPhones, IM, and other media formats, and another chapter on distance learning including video conferencing and streaming video. |
| computer science and healthcare: Cloud Computing Systems and Applications in Healthcare Bhatt, Chintan M., Peddoju, S. K., 2016-08-30 The implementation of cloud technologies in healthcare is paving the way to more effective patient care and management for medical professionals around the world. As more facilities start to integrate cloud computing into their healthcare systems, it is imperative to examine the emergent trends and innovations in the field. Cloud Computing Systems and Applications in Healthcare features innovative research on the impact that cloud technology has on patient care, disease management, and the efficiency of various medical systems. Highlighting the challenges and difficulties in implementing cloud technology into the healthcare field, this publication is a critical reference source for academicians, technology designers, engineers, professionals, analysts, and graduate students. |
| computer science and healthcare: Computational Intelligence and Healthcare Informatics Om Prakash Jena, Alok Ranjan Tripathy, Ahmed A. Elngar, Zdzislaw Polkowski, 2021-10-19 COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system. |
| computer science and healthcare: Biomedical Informatics Edward H. Shortliffe, James J. Cimino, 2013-12-02 The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies. |
| computer science and healthcare: Computer Technology for Health Professionals Elio Spinello, 2018 The second edition of Computer Technology for Health Professionals: A Guide to Effective Use and Best Practices bridges the why and the how of desktop computer technology. This introductory book provides easy to understand explanations of commonly used desktop hardware and software technology within the context of its use in the fields of clinical healthcare and public health practice. Step-by-step instruction on the use of software tools is included, as well as an emphasis on best practices for their use in healthcare and public health organizations. Topics include legal issues for computer users in health-related fields, hardware, software, malware, electronic spreadsheets, data visualization, and relational database management using Microsoft Office. The book also addresses health-related literature research using literature databases, as well as web search engines, with a focus on assessing the scientific validity of health information found online. Readers will also learn about Boolean Logic as it is applied to relational databases and online literature searches, organizational decision-making for the selection and purchase of software, as well as Geographic Information Systems. Each chapter features an Apply Your Knowledge section with hands-on exercises that allow readers to immediately implement concepts and skills. Computer Technology for Health Professionals is a common sense approach to using both hardware and software. The book is written for introductory courses in computer proficiency in the fields of the health sciences and public health. Practicing professionals can use the text as a refresher or to bolster skills in specific computer applications. |
| computer science and healthcare: Biomedical Informatics Edward H. Shortliffe, James J. Cimino, 2006-12-02 This book focuses on the role of computers in the provision of medical services. It provides both a conceptual framework and a practical approach for the implementation and management of IT used to improve the delivery of health care. Inspired by a Stanford University training program, it fills the need for a high quality text in computers and medicine. It meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Completely revised and expanded, this work includes several new chapters filled with brand new material. |
| computer science and healthcare: Health Informatics: A Computational Perspective in Healthcare Ripon Patgiri, Anupam Biswas, Pinki Roy, 2021-01-30 This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression. |
| computer science and healthcare: Data Science for Healthcare Sergio Consoli, Diego Reforgiato Recupero, Milan Petković, 2019-02-23 This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book. |
| computer science and healthcare: Computer Methods in Medicine and Health Care D. Bhattacharjee, 2021-12-03 Computer technology has brought about incredible changes in medicine and healthcare, greatly improving the efficiency and accuracy of medical treatment. Since December 2019, in the face of the global effects of COVID-19, the significance of computer technology, and big data in particular, together with the collaborative network and unmanned technology, has been recognized by healthcare staff everywhere. Modern medical science cannot evolve without the involvement of computer science.This book presents the proceedings of the 2021 Workshop on Computer Methods in Medicine & Health Care (CMMHC 2021), the autumn edition of the TDI conferences, held as a virtual, online event on 24 - 26 September 2021. Researchers from renowned universities, laboratories and hospitals in China, Italy and Japan contributed to the workshop, and findings from both basic and clinical medicine are included in the 14 papers collected here. Big data technology appeared in 20% of all papers as the most popular topic, with one paper covering big data optimization and two describing its application. The book shares practical experiences and enlightening ideas from computer-based medicine and will be of interest to researchers in and practitioners of modern medicine everywhere. |
| computer science and healthcare: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| computer science and healthcare: Pervasive Computing in Healthcare Alex Mihailidis, Jakob E. Bardram, 2006-11-16 With skyrocketing costs due to the increase in the elderly population, a rapid increase in lifestyle-related and chronic diseases, demand for new medical treatments and technologies, and a shortage in the number of available clinicians, nurses, and other caregivers, the challenges facing the healthcare industry seem insurmountable. However, by tra |
| computer science and healthcare: Global Health Informatics Leo Anthony G. Celi, Hamish S. F. Fraser, Vipan Nikore, Juan Sebastian Osorio, Kenneth Paik, 2017-04-21 Key concepts, frameworks, examples, and lessons learned in designing and implementing health information and communication technology systems in the developing world. The widespread usage of mobile phones that bring computational power and data to our fingertips has enabled new models for tracking and battling disease. The developing world in particular has become a proving ground for innovation in eHealth (using communication and technology tools in healthcare) and mHealth (using the affordances of mobile technology in eHealth systems). In this book, experts from a variety of disciplines—among them computer science, medicine, public health, policy, and business—discuss key concepts, frameworks, examples, and lessons learned in designing and implementing digital health systems in the developing world. The contributors consider such topics as global health disparities and quality of care; aligning eHealth strategies with government policy; the role of monitoring and evaluation in improving care; databases, patient registries, and electronic health records; the lifecycle of a digital health system project; software project management; privacy and security; and evaluating health technology systems. |
| computer science and healthcare: Emerging Technologies for Healthcare Monika Mangla, Nonita Sharma, Poonam Garg, Vaishali Wadhwa, Thirunavukkarasu K, Shahnawaz Khan, 2021-08-17 “Emerging Technologies for Healthcare” begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions. This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms. |
| computer science and healthcare: The Computer-Based Patient Record Committee on Improving the Patient Record, Institute of Medicine, 1997-10-28 Most industries have plunged into data automation, but health care organizations have lagged in moving patients' medical records from paper to computers. In its first edition, this book presented a blueprint for introducing the computer-based patient record (CPR). The revised edition adds new information to the original book. One section describes recent developments, including the creation of a computer-based patient record institute. An international chapter highlights what is new in this still-emerging technology. An expert committee explores the potential of machine-readable CPRs to improve diagnostic and care decisions, provide a database for policymaking, and much more, addressing these key questions: Who uses patient records? What technology is available and what further research is necessary to meet users' needs? What should government, medical organizations, and others do to make the transition to CPRs? The volume also explores such issues as privacy and confidentiality, costs, the need for training, legal barriers to CPRs, and other key topics. |
| computer science and healthcare: 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. |
| computer science and healthcare: Introduction to Healthcare Information Technology Mark D. Ciampa, 2012-03 The healthcare industry is growing at a rapid pace and undergoing some of its most significant changes as the use of electronic health records increase. Designed for technologists or medical practitioners seeking to gain entry into the field of healthcare information systems, INTRODUCTION TO HEALHCARE INFORMATION TECHNOLOGY teaches the fundamentals of healthcare IT (HIT) by using the CompTIA Healthcare IT Technician (HIT-001) exam objectives as the framework. It takes an in-depth and comprehensive view of HIT by examining healthcare regulatory requirements, the functions of a healthcare organization and its medical business operations in addition to IT hardware, software, networking, and security. INTRODUCTION TO HEALHCARE INFORMATION TECHNOLOGY is a valuable resource for those who want to learn about HIT and who desire to enter this growing field by providing the foundation that will help prepare for the CompTIA HIT certificate exam. |
| computer science and healthcare: Clinical Research Computing Prakash Nadkarni, 2016-04-29 Clinical Research Computing: A Practitioner's Handbook deals with the nuts-and-bolts of providing informatics and computing support for clinical research. The subjects that the practitioner must be aware of are not only technological and scientific, but also organizational and managerial. Therefore, the author offers case studies based on real life experiences in order to prepare the readers for the challenges they may face during their experiences either supporting clinical research or supporting electronic record systems. Clinical research computing is the application of computational methods to the broad field of clinical research. With the advent of modern digital computing, and the powerful data collection, storage, and analysis that is possible with it, it becomes more relevant to understand the technical details in order to fully seize its opportunities. - Offers case studies, based on real-life examples where possible, to engage the readers with more complex examples - Provides studies backed by technical details, e.g., schema diagrams, code snippets or algorithms illustrating particular techniques, to give the readers confidence to employ the techniques described in their own settings - Offers didactic content organization and an increasing complexity through the chapters |
| computer science and healthcare: Introduction to Nursing Informatics Kathryn J. Hannah, Marion J. Ball, Margaret J.A. Edwards, 2013-04-17 This series is intended for the rapidly increasing number of health care professionals who have rudimentary knowledge and experience in health care computing and are seeking opportunities to expand their horizons. It does not attempt to compete with the primers already on the market. Eminent international experts will edit, author, or contribute to each volume in order to provide comprehensive and current accounts of in novations and future trends in this quickly evolving field. Each book will be practical, easy to use, and weIl referenced. Our aim is for the series to encompass all of the health professions by focusing on specific professions, such as nursing, in individual volumes. However, integrated computing systems are only one tool for improving communication among members of the health care team. Therefore, it is our hope that the series will stimulate professionals to explore additional me ans of fostering interdisciplinary exchange. This se ries springs from a professional collaboration that has grown over the years into a highly valued personal friendship. Our joint values put people first. If the Computers in Health Care series lets us share those values by helping health care professionals to communicate their ideas for the benefit of patients, then our efforts will have succeeded. |
| computer science and healthcare: Healthcare and the Effect of Technology: Developments, Challenges and Advancements Kabene, Stfane M., 2010-03-31 This book examines current developments and challenges in the incorporation of ICT in the health system from the vantage point of patients, providers, and researchers. The authors take an objective, realistic view of the shift that will result for patients, providers, and the healthcare industry in general from the increased use of eHealth services--Provided by publisher. |
| computer science and healthcare: Integrating AI in IoT Analytics on the Cloud for Healthcare Applications Jeya Mala, D., 2022-01-07 Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students. |
| computer science and healthcare: Artificial Intelligence in Medicine David Riaño, Szymon Wilk, Annette ten Teije, 2019-06-19 This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning. |
| computer science and healthcare: Computer Science and Health Engineering in Health Services José Antonio Marmolejo-Saucedo, Pandian Vasant, Igor Litvinchev, Roman Rodriguez-Aguilar, Felix Martinez-Rios, 2021-02-24 This book constitutes the refereed post-conference proceedings of the 4th International Conference on Computer Science and Health Engineering in Health Services. Due to COVID-19 pandemic the conference was held virtually. The 16 full papers presented were carefully reviewed and selected from 39 submissions. The papers highlight the latest research innovations and applications of algorithms designed for optimization applications within the fields of science, computer science, engineering, information technology, economics, and health systems. |
| computer science and healthcare: Digital Healthcare Empowering Europeans R. Cornet, L. Stoicu-Tivadar, A. Hörbst, 2015-05-08 The digitization of healthcare has become almost ubiquitous in recent years, spreading from healthcare organizations into the homes and personal appliances of practically every citizen. Thanks to the collective efforts of health professionals, patients and care providers as well as systems developers and researchers, the entire population of Europe is able to participate in and enjoy the benefits of digitized health information. This book presents the proceedings of the 26th Medical Informatics in Europe Conference (MIE2015), held in Madrid, Spain, in May 2015. The conference brings together participants who share their latest achievements in biomedical and health Informatics, including the role of the user in digital healthcare, and provides a forum for discussion of the inherent challenges to design and adequately deploy ICT tools, the assessment of health IT interventions, the training of users and the exploitation of available information and knowledge to further the continuous and ubiquitous availability and interoperability of medical information systems. Contributions address methodologies and applications, success stories and lessons learned as well as an overview of on-going projects and directions for the future. The book will be of interest to all those involved in the development, delivery and consumption of health and care information. |
| computer science and healthcare: Machine Learning for Health Informatics Andreas Holzinger, 2016-12-09 Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field. |
| computer science and healthcare: Impacts of Information Technology on Patient Care and Empowerment McHaney, Roger W., Reychev, Iris, Azuri, Joseph, McHaney, Mark E., Moshonov, Rami, 2019-09-20 Modern technology has impacted healthcare and interactions between patients and healthcare providers through a variety of means including the internet, social media, mobile devices, and the internet of things. These new technologies have empowered, frustrated, educated, and confused patients by making educational materials more widely available and allowing patients to monitor their own vital signs and self-diagnose. Further analysis of these and future technologies is needed in order to provide new approaches to empowerment, reduce mistakes, and improve overall healthcare. Impacts of Information Technology on Patient Care and Empowerment is a critical scholarly resource that delves into patient access to information and the effect that access has on their relationship with healthcare providers and their health outcomes. Featuring a range of topics such as gamification, mobile computing, and risk analysis, this book is ideal for healthcare practitioners, doctors, nurses, surgeons, hospital staff, medical administrators, patient advocates, researchers, academicians, policymakers, and healthcare students. |
| computer science and healthcare: Mapping and Sequencing the Human Genome National Research Council, Division on Earth and Life Studies, Commission on Life Sciences, Committee on Mapping and Sequencing the Human Genome, 1988-01-01 There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers. |
| computer science and healthcare: Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice Management Association, Information Resources, 2018-07-06 The world of medical technologies is undergoing a sea change in the domain of consumer culture. Having a grasp on what appeals to consumers and how consumers are making purchasing decisions is essential to the success of any organization that thrives by offering a product or service. As such, it is vital to examine the consumer-centered aspects of medical technological developments that have a patient-centered focus and allow patients to take part in their own personal health and wellness. Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice is a critical source of academic knowledge on the use of smartphones and other technological devices for cancer therapy, fitness and wellness, chronic disease monitoring, and other areas. The tracking of these items using technology has allowed consumers to take control of their own healthcare. Highlighting a range of pertinent topics such as clinical decision support systems, patient engagement, and electronic health records, this publication is an ideal reference source for doctors, nurse practitioners, hospital administrators, medical professionals, IT professionals, academicians, and researchers interested in advancing medical practice through technology. |
| computer science and healthcare: Machine Learning for Healthcare Applications Sachi Nandan Mohanty, G. Nalinipriya, Om Prakash Jena, Achyuth Sarkar, 2021-04-13 When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science. |
| computer science and healthcare: Introduction to Computer Systems for Health Information Technology Nanette B. Sayles, Kathy C. Trawick, 2010-01-01 |
| computer science and healthcare: C++ Templates David Vandevoorde, Nicolai M. Josuttis, Douglas Gregor, 2017-09-14 Templates are among the most powerful features of C++, but they remain misunderstood and underutilized, even as the C++ language and development community have advanced. In C++ Templates, Second Edition, three pioneering C++ experts show why, when, and how to use modern templates to build software that’s cleaner, faster, more efficient, and easier to maintain. Now extensively updated for the C++11, C++14, and C++17 standards, this new edition presents state-of-the-art techniques for a wider spectrum of applications. The authors provide authoritative explanations of all new language features that either improve templates or interact with them, including variadic templates, generic lambdas, class template argument deduction, compile-time if, forwarding references, and user-defined literals. They also deeply delve into fundamental language concepts (like value categories) and fully cover all standard type traits. The book starts with an insightful tutorial on basic concepts and relevant language features. The remainder of the book serves as a comprehensive reference, focusing first on language details and then on coding techniques, advanced applications, and sophisticated idioms. Throughout, examples clearly illustrate abstract concepts and demonstrate best practices for exploiting all that C++ templates can do. Understand exactly how templates behave, and avoid common pitfalls Use templates to write more efficient, flexible, and maintainable software Master today’s most effective idioms and techniques Reuse source code without compromising performance or safety Benefit from utilities for generic programming in the C++ Standard Library Preview the upcoming concepts feature The companion website, tmplbook.com, contains sample code and additional updates. |
| computer science and healthcare: The Doctor and Mr. Dylan Rick Novak, 2017-10-06 This is the second edition of the 2014 bestselling medical-legal novel. Dr. Nico Antone, an anesthesiologist at Stanford University, is married to Alexandra, a high-powered real estate agent obsessed with money. Their son, Johnny, an 11th-grader with immense potential, struggles to get the grades he'll need to attend an Ivy League college. After a screaming match with Alexandra, Nico moves himself and Johnny from Palo Alto, California, to his frozen childhood home of Hibbing, Minnesota. The move helps Johnny improve his grades and thus seem more attractive to universities, but Nico loves the freedom from his wife. Hibbing also happens to be the hometown of music icon Bob Dylan. Joining the hospital staff, Nico runs afoul of a psychotic nurse anesthetist who calls himself Bobby Dylan, who plays Dylan songs twice a week in a bar called Heaven's Door, and who believes he is the real Bob Dylan. As Nico and Johnny settle in at Hibbing, their lives turn around, until the soulless Alexandra dies, which accelerates the downfall of Dr. Antone, who is accused of her murder. The medical realism and subsequent courtroom realism and big university atmosphere versus small Minnesota town make this novel ring true. The author's medical expertise is central to the plot, and the author's career as a medical expert witness brings sizzling energy to the concluding courtroom scenes. |
| computer science and healthcare: Handbook of Medical Image Computing and Computer Assisted Intervention S. Kevin Zhou, Daniel Rueckert, Gabor Fichtinger, 2019-10-18 Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. - Presents the key research challenges in medical image computing and computer-assisted intervention - Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society - Contains state-of-the-art technical approaches to key challenges - Demonstrates proven algorithms for a whole range of essential medical imaging applications - Includes source codes for use in a plug-and-play manner - Embraces future directions in the fields of medical image computing and computer-assisted intervention |
| computer science and healthcare: Impact of Healthcare Informatics on Quality of Patient Care and Health Services Divya Srinivasan Sridhar, 2013-02-15 Recent healthcare reform and its provisions have pushed health information technology (HIT) into the forefront. Higher life expectancies, fewer medical errors, lower costs, and improved transparency are all possible through HIT. Taking an integrated approach, Impact of Healthcare Informatics on Quality of Patient Care and Health Services examines the various types of organizations, including nonprofit hospitals, for-profit hospitals, community health centers, and government hospitals. By doing so, it provides you with a comparative perspective of how different organizations adapt and use the technology. The first part of the book covers the basics of HIT. It explains the significant changes that the Health Information Technology for Economic and Clinical Health Act (HITECH) and the Health Insurance Portability and Accountability Act (HIPAA) will bring about for stakeholders. This section includes coverage of key organizational cultural factors, management changes that will result from HIT, hospital financing changes that may take effect, a cost-benefit analysis of electronic medical records (EMRs), and the numerous organizational behavior changes stimulated by HIT. The second part of the book focuses on the broader community: the patient, the physician, government, and how HIT will impact each. These chapters cover quality of care and cost impacts on the patient from HIT, changes for patients of varying socioeconomic statuses, physician perceptions of HIT, medical malpractice lawsuits involving the use of HIT, bioterrorism, and use of EMRs. The book also includes a discussion about mobile health, and how a rapidly growing mobile health generation is changing the face of healthcare as we know it. |
| computer science and healthcare: Cognitive Informatics for Biomedicine Vimla L. Patel, Thomas G. Kannampallil, David R. Kaufman, 2015-08-10 The book reports on the current state on HCI in biomedicine and health care, focusing on the role of human factors, patient safety well as methodological underpinnings of HCI theories and its application for biomedical informatics. Theories, models and frameworks for human-computer interaction (HCI) have been recognized as key contributors for the design, development and use of computer-based systems. In the clinical domain, key themes that litter the research landscape of health information technology (HIT) are usability, decision support and clinical workflow – all of which are affected directly or indirectly by the nature of HCI. While the implications of HCI principles for the design of HIT are acknowledged, the adoption of the tools and techniques among clinicians, informatics researchers and developers of HIT are limited. There is a general consensus that HIT has not realized its potential as a tool to facilitate clinical decision-making, the coordination of care and improves patient safety. Embracing sound principles of iterative design can yield significant dividends. It can also enhance practitioner’s abilities to meet “meaningful use” requirements. The purpose of the book is two-fold: to address key gaps on the applicability of theories, models and evaluation frameworks of HCI and human factors for research in biomedical informatics. It highlights the state of the art, drawing from the current research in HCI. Second, it also serves as a graduate level textbook highlighting key topics in HCI relevant for biomedical informatics, computer science and social science students working in the healthcare domain. For instructional purposes, the book provides additional information and a set of questions for interactive class discussion for each section. The purpose of these questions is to encourage students to apply the learned concepts to real world healthcare problems. |
| computer science and healthcare: Introduction to Medical Software Xenophon Papademetris, Ayesha N. Quraishi, Gregory P. Licholai, 2022-05-05 A concise and accessible overview of the design, implementation and management of medical software. |
Synergizing Computer Science Innovations with Healthcare
Abstract: A key benefit of merging computer science with healthcare management is to transform how the patient is treated and how the organisation works. This research examines the …
APPLICATIONS OF COMPUTER TECHNOLOGY IN THE FIELD …
In this research paper, we aim to explore the multifaceted applications of computer science in medicine, highlighting the latest advancements, challenges, and opportunities in the field.
Human–computer interaction in healthcare: Comprehensive …
Abstract: Technological advancements have fundamentally transformed healthcare systems and significantly altered the interactions between medical professionals and information interfaces.
Medical Informatics: Computer Applications in Health Care …
In this chapter, we examine the definition and use of computer-based patient-record systems, discuss their potential benefits and costs, and describe the remaining challenges to address in …
Introduction: The Evolution of Health Informatics
Computer science brings to health informatics the technology and software coding required for this specialty while information science contributes the procedures and processes needed to …
20 The Future of Computer Applications in Health Care
healthcare workers will work increasingly with computers in their daily lives and that improvements in computer technology will continue, independent of tech nological advances in medical science.
Role of Computer Science in Health Care - ijsetr.com
Abstract: Computer Science is related to computers and telecommunications equipment to store, retrieve, transmit and manipulate data, often in the context of a business or other enterprise.
Biomedical Informatics: Computer Applications in Health Care …
Biomedical informatics is the scientific field that deals with the storage, retrieval, sharing, and optimal use of biomedical information, data, and knowledge for problem solving and decision …
Essence of Soft Computing in Healthcare - International …
Soft computing (SC) is a branch of computer science that resembles the processes of the human brain. It may also be regarded as a newly emerging multidisciplinary field. Its main objective is …
Precision Medicine How Computer Science is Reshaping …
In the ever-evolving landscape of healthcare, the integration of computer science and systems biology has given rise to a revolutionary approach known as precision medicine.
Enhancing Patient Care through Computer Science …
AI and machine learning are now transforming the contours of the management of various aspects of healthcare. Sophisticated algorithms can use large data sets to predict patients’ progress …
B.Tech Computer Science and Engineering - VIT Bhopal
Health informatics professionals use their knowledge of healthcare, information systems, databases, and information technology security to gather, store, interpret and manage the …
Data Analytics in Healthcare: A Tertiary Study - Springer
We analyze studies on healthcare data analytics, and provide a wide overview of the subject. This is a tertiary study, i.e., a systematic review of systematic reviews.
Computational Technology for Effective Health Care: …
experts in biomedical informatics, computer science and information technology (including databases, security, networking, human-computer interaction, and large-scale system …
Internet ofThings in Healthcare: Architecture, Applications, …
Healthcare, the largest global industry, is undergoing significant transformations with the genesis of a new technology known as the Internet of Things (IoT).
AI in Healthcare: Deep Learning Solutions for Lung Cancer …
AI in Healthcare: Deep Learning Solutions for Lung Cancer Detection Himanshu Tyagi1, Aditya Gupta2, Saurabh Srivastava3, Neeraj Kumari4, Aryan Sharma5, Nikhil Sharma6 1Department …
Data science in healthcare: techniques, challenges and
Integrating data science techniques in healthcare has emerged as a transformative force and holds immense poten-tial for improving patient outcomes, enhancing operational efficiency, …
Barriers to Adoption of Information Technology in Healthcare
In this report, we take a systems thinking perspective to identify barriers to the application of information technology in health-care and adoption of those advances through the prism of two …
Towards Smart Healthcare Management: Harnessing …
Abstract: This research focuses on the analysis of applying enhanced forms of artificial intelligence in improving management information system in healthcare.
It deals with resources, devices, and methods required to
Health Informatics is a discipline at the intersection of information science, computer science, social science, behavioral science and healthcare. It deals with resources, devices, and …
Synergizing Computer Science Innovations with Healthcare …
Abstract: A key benefit of merging computer science with healthcare management is to transform how the patient is treated and how the organisation works. This research examines the …
APPLICATIONS OF COMPUTER TECHNOLOGY IN THE FIELD …
In this research paper, we aim to explore the multifaceted applications of computer science in medicine, highlighting the latest advancements, challenges, and opportunities in the field.
Human–computer interaction in healthcare: Comprehensive …
Abstract: Technological advancements have fundamentally transformed healthcare systems and significantly altered the interactions between medical professionals and information interfaces.
Medical Informatics: Computer Applications in Health Care …
In this chapter, we examine the definition and use of computer-based patient-record systems, discuss their potential benefits and costs, and describe the remaining challenges to address in …
Introduction: The Evolution of Health Informatics
Computer science brings to health informatics the technology and software coding required for this specialty while information science contributes the procedures and processes needed to …
20 The Future of Computer Applications in Health Care
healthcare workers will work increasingly with computers in their daily lives and that improvements in computer technology will continue, independent of tech nological advances in medical science.
Role of Computer Science in Health Care - ijsetr.com
Abstract: Computer Science is related to computers and telecommunications equipment to store, retrieve, transmit and manipulate data, often in the context of a business or other enterprise.
Biomedical Informatics: Computer Applications in Health …
Biomedical informatics is the scientific field that deals with the storage, retrieval, sharing, and optimal use of biomedical information, data, and knowledge for problem solving and decision …
Essence of Soft Computing in Healthcare - International …
Soft computing (SC) is a branch of computer science that resembles the processes of the human brain. It may also be regarded as a newly emerging multidisciplinary field. Its main objective is …
Precision Medicine How Computer Science is Reshaping …
In the ever-evolving landscape of healthcare, the integration of computer science and systems biology has given rise to a revolutionary approach known as precision medicine.
Enhancing Patient Care through Computer Science …
AI and machine learning are now transforming the contours of the management of various aspects of healthcare. Sophisticated algorithms can use large data sets to predict patients’ …
B.Tech Computer Science and Engineering - VIT Bhopal
Health informatics professionals use their knowledge of healthcare, information systems, databases, and information technology security to gather, store, interpret and manage the …
Data Analytics in Healthcare: A Tertiary Study - Springer
We analyze studies on healthcare data analytics, and provide a wide overview of the subject. This is a tertiary study, i.e., a systematic review of systematic reviews.
Computational Technology for Effective Health Care: …
experts in biomedical informatics, computer science and information technology (including databases, security, networking, human-computer interaction, and large-scale system …
Internet ofThings in Healthcare: Architecture, Applications, …
Healthcare, the largest global industry, is undergoing significant transformations with the genesis of a new technology known as the Internet of Things (IoT).
AI in Healthcare: Deep Learning Solutions for Lung Cancer …
AI in Healthcare: Deep Learning Solutions for Lung Cancer Detection Himanshu Tyagi1, Aditya Gupta2, Saurabh Srivastava3, Neeraj Kumari4, Aryan Sharma5, Nikhil Sharma6 1Department …
Data science in healthcare: techniques, challenges and
Integrating data science techniques in healthcare has emerged as a transformative force and holds immense poten-tial for improving patient outcomes, enhancing operational efficiency, …
Barriers to Adoption of Information Technology in Healthcare
In this report, we take a systems thinking perspective to identify barriers to the application of information technology in health-care and adoption of those advances through the prism of two …
Towards Smart Healthcare Management: Harnessing …
Abstract: This research focuses on the analysis of applying enhanced forms of artificial intelligence in improving management information system in healthcare.
It deals with resources, devices, and methods required to
Health Informatics is a discipline at the intersection of information science, computer science, social science, behavioral science and healthcare. It deals with resources, devices, and …
