Health Informatics

Health Informatics: An Interprofessional Approach was awarded first place in the 2013 AJN Book of the Year Awards in the Information Technology/Informatics category. Get on the cutting edge of informatics with Health Informatics, An Interprofessional Approach. Covering a wide range of skills and systems, this unique title prepares you for work in today's technology-filled clinical field. Topics include clinical decision support, clinical documentation, provider order entry systems, system implementation, adoption issues, and more. Case studies, abstracts, and discussion questions enhance your understanding of these crucial areas of the clinical space. 31 chapters written by field experts give you the most current and accurate information on continually evolving subjects like evidence-based practice, EHRs, PHRs, disaster recovery, and simulation. Case studies and attached discussion questions at the end of each chapter encourage higher level thinking that you can apply to real world experiences. Objectives, key terms and an abstract at the beginning of each chapter provide an overview of what each chapter will cover. Conclusion and Future Directions section at the end of each chapter reinforces topics and expands on how the topic will continue to evolve. Open-ended discussion questions at the end of each chapter enhance your understanding of the subject covered.

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies Presents a case study driven approach, with references to real-world applications and systems Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

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.

Health Informatics (HI) focuses on the application of Information Technology (IT) to the field of medicine to improve individual and population healthcare delivery, education and research. This extensively updated fifth edition reflects the current knowledge in Health Informatics and provides learning objectives, key points, case studies and references.

An Introduction to Healthcare Informatics: Building Data-Driven Tools bridges the gap between the current healthcare IT landscape and cutting edge technologies in data science, cloud infrastructure, application development and even artificial intelligence. Information technology encompasses several rapidly evolving areas, however healthcare as a field suffers from a relatively archaic technology landscape and a lack of curriculum to effectively train its millions of practitioners in the skills they need to utilize data and related tools. The book discusses topics such as data access, data analysis, big data current landscape and application architecture. Additionally, it encompasses a discussion on the future developments in the field. This book provides physicians, nurses and health scientists with the concepts and skills necessary to work with analysts and IT professionals and even perform analysis and application architecture themselves. Presents case-based learning relevant to healthcare, bringing each concept accompanied by an example which becomes critical when explaining the function of SQL, databases, basic models etc. Provides a roadmap for implementing modern technologies and design patters in a healthcare setting, helping the reader to understand both the archaic enterprise systems that often exist in hospitals as well as emerging tools and how they can be used together Explains healthcare-specific stakeholders and the management of analytical projects within healthcare, allowing healthcare practitioners to successfully navigate the political and bureaucratic challenges to implementation Brings diagrams for each example and technology describing how they operate individually as well as how they fit into a larger reference architecture built upon throughout the book

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and practitioners will find it very useful. Chapters go from basic methodology to advanced methods, including detailed descriptions of proposed approaches and comprehensive critical discussions on experimental results and how they are applied to Biomedical Engineering, Electronic Health Records, and medical image processing. Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis

Health IT is a major field of investment in support of healthcare delivery, but patients and professionals tend to have systems imposed upon them by organizational policy or as a result of even higher policy decision. And, while many health IT systems are efficient and welcomed by their users, and are essential to modern healthcare, this is not the case for all. Unfortunately, some systems cause user frustration and result in inefficiency in use, and a few are known to have inconvenienced patients or even caused harm, including the occasional death. This book seeks to answer the need for better understanding of the importance of robust evidence to support health IT and to optimize investment in it; to give insight into health IT evidence and evaluation as its primary source; and to promote health informatics as an underpinning science demonstrating the same ethical rigour and proof of net benefit as is expected of other applied health technologies. The book is divided into three parts: the context and importance of evidence-based health informatics; methodological considerations of health IT evaluation as the source of evidence; and ensuring the relevance and application of evidence. A number of cross cutting themes emerge in each of these sections. This book seeks to inform the reader on the wide range of knowledge available, and the appropriateness of its use according to the circumstances. It is aimed at a wide readership and will be of interest to health policymakers, clinicians, health informaticians, the academic health informatics community, members of patient and policy organisations, and members of the vendor industry.

This essential text provides a readable yet sophisticated overview of the basic concepts of information technologies as they apply in healthcare. Spanning areas as diverse as the electronic medical record, searching, protocols, and communications as well as the Internet, Enrico Coiera has succeeded in making this vast and complex area accessible an

Global Health Informatics: How Information Technology Can Change Our Lives in a Globalized World discusses the critical role of information and communication technologies in health practice, health systems management and research in increasingly interconnected societies. In a global interconnected world the old standalone institutional information systems have proved to be inadequate for patient-centered care provided by multiple providers, for the early detection and response to emerging and re-emerging diseases, and to guide population-oriented public health interventions. The book reviews pertinent aspects and successful current experiences related to standards for health information systems; digital systems as a support for decision making, diagnosis and therapy; professional and client education and training; health systems operation; and intergovernmental collaboration. Discusses how standalone systems can compromise health care in globalized world Provides information on how information and communication technologies (ICT) can support diagnose, treatment, and prevention of emerging and re-emerging diseases Presents case studies about integrated information and how and why to share data can facilitate governance and strategies to improve life conditions

Key Advances in Clinical Informatics: Transforming Health Care through Health Information Technology provides a state-of-the-art overview of the most current subjects in clinical informatics. Leading international authorities write short, accessible, well-referenced chapters which bring readers up-to-date with key developments and likely future advances in the relevant subject areas. This book encompasses topics such as inpatient and outpatient clinical information systems, clinical decision support systems, health information technology, genomics, mobile health, telehealth and cloud-based computing. Additionally, it discusses privacy, confidentiality and security required for health data. Edited by internationally recognized authorities in the field of clinical informatics, the book is a valuable resource for medical/nursing students, clinical informaticists, clinicians in training, practicing clinicians and allied health professionals with an interest in health informatics. Presents a state-of-the-art overview of the most current subjects in clinical informatics. Provides summary boxes of key points at the beginning of each chapter to impart relevant messages in an easily digestible fashion Includes internationally acclaimed experts contributing to chapters in one accessible text Explains and illustrates through international case studies to show how the evidence presented is applied in a real world setting

This revised edition covers all aspects of public health informatics and discusses the creation and management of an information technology infrastructure that is essential in linking state and local organizations in their efforts to gather data for the surveillance and prevention. Public health officials will have to understand basic principles of information resource management in order to make the appropriate technology choices that will guide the future of their organizations. Public health continues to be at the forefront of modern medicine, given the importance of implementing a population-based health approach and to addressing chronic health conditions. This book provides informatics principles and examples of practice in a public health context. In doing so, it clarifies the ways in which newer information technologies will improve individual and community health status. This book's primary purpose is to consolidate key information and promote a strategic approach to information systems and development, making it a resource for use by faculty and students of public health, as well as the practicing public health professional. Chapter highlights include: The Governmental and Legislative Context of Informatics; Assessing the Value of Information Systems; Ethics, Information Technology, and Public Health; and Privacy, Confidentiality, and Security. Review questions are featured at the end of every chapter. Aside from its use for public health professionals, the book will be used by schools of public health, clinical and public health nurses and students, schools of social work, allied health, and environmental sciences.

"An engaging introduction to an exciting multidisciplinary field where positive impact depends less on technology than on understanding and responding to human motivations, specific information needs, and life constraints." -- Betsy L. Humphreys, former Deputy Director, National Library of Medicine This is a book for people who want to design or promote information technology that helps people be more active and informed participants in their healthcare. Topics include patient portals, wearable devices, apps, websites, smart homes, and online communities focused on health. Consumer Healthcare Informatics: Enabling Digital Health for Everyone educates readers in the core concepts of consumer health informatics: participatory healthcare; health and e-health literacy; user-centered design; information retrieval and trusted information resources; and the ethical dimensions of health information and communication technologies. It presents the current state of knowledge and recent developments in the field of consumer health informatics. The discussions address tailoring information to key user groups, including patients, consumers, caregivers, parents, children and young adults, and older adults. For example, apps are considered as not just a rich consumer technology with the promise of empowered personal data management and connectedness to community and healthcare providers, but also a domain rife with concerns for effectiveness, privacy, and security, requiring both designer and user to engage in critical thinking around their choices. This book’s unique contribution to the field is its focus on the consumer and patient in the context of their everyday life outside the clinical setting. Discussion of tools and technologies is grounded in this perspective and in a context of real-world use and its implications for design. There is an emphasis on empowerment through participatory and people-centered care.

This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer science and clinical perspectives. This book prepares computer science students for careers in computational health informatics and medical data analysis. Features Integrates computer science and clinical perspectives Describes various statistical and artificial intelligence techniques, including machine learning techniques such as clustering of temporal data, regression analysis, neural networks, HMM, decision trees, SVM, and data mining, all of which are techniques used widely used in health-data analysis Describes computational techniques such as multidimensional and multimedia data representation and retrieval, ontology, patient-data deidentification, temporal data analysis, heterogeneous databases, medical image analysis and transmission, biosignal analysis, pervasive healthcare, automated text-analysis, health-vocabulary knowledgebases and medical information-exchange Includes bioinformatics and pharmacokinetics techniques and their applications to vaccine and drug development

Throughout the world, healthcare professionals often lack knowledge of the possibilities and limitations of systematically processing data, information and knowledge and of the resulting impact on quality decision-making. They are often asked to use information technologies of which they have limited appreciation, in order to enhance their practices through better use of information resources. However, for systematically processing data, information and knowledge in medicine and in healthcare, healthcare professionals who are well-trained in medical informatics or health informatics are needed. It will only be through improved education of healthcare professionals and through an increase in the number of well-trained workers in health and medical informatics that this lack of knowledge and associated skills can begin to be reversed. Although we can recognize further progress in educating health and a considerable number of educational programs for health informatics / medical informatics specialists have been set up, there is still a need to enhance these educational activities world wide, considering global developments as well as new curricular concepts and technological opportunities. IMIA and in particular its working group on health and medical informatics education is the leading international society stimulating such educational activities in various ways. This book is especially helpful for educators in the field of health / medical informatics.

Over the last three decades enormous effort has gone into strengthening public health information systems (HIS). They are now a key element of health sector reform initiatives, but are growing in complexity. This is driven by the increasing diversity of technology platforms, increasing demands for information, the multitude of actors involved, and the need for data security and privacy. Initiatives like Universal Health Coverage and Prevention of Non-Communicable Diseases are expected to place further burdens on all health systems. However, they will pose particular challenges in resource-constrained settings, such as low- and middle-income countries (LMICs), where health systems have struggled to provide quality care. Public Health Informatics discusses the challenges that exist in the design, development, and implementation of HIS. Key problem areas, such as sub-adequate data and problems of inter-operability, are analysed in detail and the book looks at possible approaches to addressing these challenges in LMICs. Case studies critically appraise the experiences of countries and health programmes in the building of HISs, to determine the successes and failures of varying approaches. Finally, the book explores how future systems in developing countries can be shaped. The expert author team has two decades experience in over 30 LMICs, and includes researchers and practitioners from the fields of informatics, public health, and medicine. This uniquely comprehensive account of information systems in the public health setting will be of use to the wide range of people working in this broad cross-disciplinary field, from software developers to public health practitioners and researchers.

"True wellness innovation requires the recruitment of multi-disciplinary participants. This book breaks the mold with examples from healthcare experts and other professionals who have leveraged informatics to better the lives of their constituents." — Jason Helgerson, Founder & CEO, Helgerson Solutions Group LLC Developed for those training in academic centers as well as for those already "out in the field," this book looks at how attorneys, behavioral health experts, business development experts, chief information officers, chief medical officers, chief nursing information officers, consumer advocates, cryptographic experts, futurists, geneticists, informaticists, managed care executives, nurses, pharmacists, physicians, public health professionals, software developers, systems security officers, and workforce experts are collaborating on a "team-based," IT-enabled approach to improve healthcare.

This innovative reference examines how consumer health informatics (CHI) can transform healthcare systems stressed by staffing shortages and budget constraints and challenged by patients taking a more active role in their care. It situates CHI as vital to upgrading healthcare service delivery, detailing the relationship between health information technologies and quality healthcare, and outlining what stakeholders need to learn for health IT systems to function effectively. Wide-ranging content identifies critical issues and answers key questions at the consumer, practitioner, administration, and staff levels, using examples from diverse conditions, countries, technologies, and specialties. In this framework, the benefits of CHI are seen across service domains, from individual patients and consumers to healthcare systems and global health entities. Included in the coverage: Use of video technology in an aged care environment A context-aware remote health monitoring service for improved patient care Accessibility issues in interoperable sharing of electronic health records: physician’s perspective Managing gestational diabetes with mobile web-based reporting of glucose readings An organizing vision perspective for developing and adopting e-health solutions An ontology of consumer health informatics Contemporary Consumer Health Informatics combines blueprint and idea book for public health and health informatics students, healthcare professionals, physicians, medical administrators, managers, and IT practitioners.

The first resource of its kind, Introduction to Health Informatics examined the effects of health informatics on healthcare practitioners, patients, and policies from a distinctly Canadian perspective. This second edition has been thoroughly updated to reflect current trends and innovations in health informatics and includes new figures, charts, tables, and web links. In this text, author Christo El Morr presents the subject of health informatics in an accessible, concise way, breaking the topic down into 12 chapters divided into 3 sections. Each chapter includes objectives, key terms, which are defined in a full glossary at the end of the text, and a “Test Your Understanding” section for student review. The second edition also features 15% brand new content, with a full chapter on analytics, machine learning, and AI for health, as well as information on virtual care, mHealth apps, COVID-19 responses, adoption of EHR across provinces, clinical informatics, and precisions medicine. Packed with pedagogical features and updated instructor supplements, this text is a vital resource for students, instructors, and practitioners in health informatics, health management, and health policy. FEATURES: - Takes a uniquely Canadian perspective on health informatics - Contains 15 percent new content on topics such as virtual care, mHealth apps, COVID-19 responses, adoption of EHR across provinces, clinical informatics, and precisions medicine - Updated instructor supplements, including PowerPoint slides and a test bank

Techno-Anthropology is an emerging interdisciplinary research field focusing on human/technology interactions and relations, and how these can be understood and facilitated in context. Techno-Anthropology also considers how technological innovation, development and implementation can be made in an appropriate and pragmatic way in relation to understanding work practices. Techno-Anthropology has much to offer the health informatics and eHealth fields, and this book presents the work of experienced international researchers who share here how they have applied Techno-Anthropology methodologies to their research. The book is divided into three sections: ethnographic and anthropological perspectives on methodology; ethical and sociotechnical approaches; and users, participation and human factors. Topics covered include: learning the craft of Techno-Anthropology; anthropological approaches in studying technology induced errors; technology and the ecology of chronic illness in everyday life; Techno-Anthropologists as agents of change; and using rapid ethnography to support the design and implementation of health information technologies, as well as many more. Of interest to researchers and practitioners within the health informatics field as well as students and scholars, the book will inspire researchers and practitioners to examine health informatics from a new perspective.