Intended as a primer for those just beginning to study nursing informatics, this text equally provides a thorough introduction to basic terms and concepts, as well as an in-depth exploration of the most popular applications in nursing practice, education, administration and research. The Third Edition is updated and expanded to reflect the vast technological advances achieved in health care in recent years. Readers will learn how to use computers and information management systems in their practices, make informed choices related to software/hardware selection, and implement computerized solutions for information management strategies.

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With the growth of information and focus on Healthcare Informatics, there remains an interest in case studies. In the current field of Health Informatics there is no text that uses case studies to explain the difficulties that occur. . Edited by specialists in the field of Health Informatics, the third edition of Transforming Healthcare Through Information: Case Studies builds upon the specific examples of case studies to exemplify the various phases of introducing technological advancements into healthcare institutions. The new edition includes a section on how to implement Link2care, a system that will allow caregivers of ill patients, to seek reliable and informative online information and support. In addition the cases will be framed under new sections with discussion on new topics in the area of healthcare technology such as quality data management and knowledge management. The case studies described in the third edition will benefit not only the practicing professional but also the instructor and student studying in the field of health informatics.

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This comprehensive volume explores the evolving fields of consumer informatics and telemedicine as envisioned by the Institute of Medicine in its landmark reports on the electronic medical record, patient safety, and quality care. Each chapter describes the role of computers, technology, and telecommunications as enablers within a specific application focused on the needs of consumers. The applications covered are ones which empower consumers as they seek information, analyze their health care needs, and make decisions about their own health care. Such applications empower professionals in their efforts to serve patients, while increasing the knowledge of the consumer. Richly illustrated with detailed examples, this volume speaks to a wide range of audiences as it addresses issues raised by consumer informatics, the use of technology, research and development effects, and telemedicine. Chapter highlights include: Patient-Centered Communication; Using the Internet Toward Reliable Consumer Health Information; Disease Management and Home Telehealth; and Biothreats and Disaster Management. The book’s audience includes all healthcare professionals, healthcare administrators, IT professionals, health informaticians, and students.

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The Statistical Analysis of Functional MRI Data (Statistics for Biology and Health)

This book is a primer on fMRI for statisticians interested in learning more about this fascinating subject and the many statistical challenges inherent in functional neuroimaging data, laying out the basics of technique, and surveying the most popular current statistical approaches.

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Full four-color book.

Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R.

All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies.

Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.

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Dr. Carén has been using the Qlucore software to analyse methylation data from the Illumina platform in order to identify patterns that could help to categorise tumours into different categories of seriousness, and also to predict how the tumour is likely to develop.

“It is often very difficult to find meaningful patterns in very large datasets like these, but Qlucore’s software has made it much easier for me to understand the relevance of the data produced during my methylation analysis,” says Helena Carén, PhD.  “The 3D graphics, in particular, have been very helpful, since it is easier to spot important patterns when you can view your results as a 3D image, and even rotate the image, if needed, directly on the computer screen.”

The ultimate goal of the methylation study is to identify a set of genes whose methylation profile can accurately determine how aggressive a tumour is, as well as the most effective method of treatment. In the longer term, these studies will also help to identify the specific genes that have contributed to formation of the tumour itself.

Qlucore’s highly intuitive Qlucore Omics Explorer application adds increased creativity to this kind of research, thanks to the software’s impressive speed and statistical capability.  Founded in 2007, Qlucore has already delivered its solutions to leading research organisations and pharmaceutical companies all over the world.

“Qlucore Omics Explorer has become a highly respected name in the bioinformatics market, and we are very proud to support such exciting work in this important area,” says Carl-Johan Ivarsson, President, Qlucore.  “With so many biologists, researchers and scientists now using our software to study crucial areas like disease prevention, it is very rewarding to know that we are helping them to conduct more creative research and to achieve truly outstanding results.”

Qlucore Omics Explorer has already gained a global reputation within the scientific community, as it allows the actual researchers – the people with the most biological insight – to study the data and to look for patterns and structures. In addition, because Qlucore Omics Explorer allows researchers to explore different hypotheses and alternative scenarios within seconds, the software is already helping to play a key role in unveiling important new discoveries.

“One of the best aspects of Qlucore Omics Explorer is that it has allowed me to manipulate all of my data myself, which means that it wasn’t necessary to consult bioinformatics specialists every time I wanted to consider a new theory,” Dr. Carén adds. “Plus, not only is it very easy for biologists to identify patterns in the data set very quickly by themselves, it is also easy to produce impressive charts and figures, which is very useful when presenting important findings for publication.”

About Qlucore

Qlucore started as a collaborative research project at Lund University, Sweden, supported by researchers at the Departments of Mathematics and Clinical Genetics, in order to address the vast amount of high-dimensional data generated with microarray gene expression analysis. As a result, it was recognised that an interactive scientific software tool was needed to conceptualise the ideas evolving from the research collaboration.

The basic concept behind the software is to provide a tool that can take full advantage of the most powerful pattern recogniser that exists – the human brain. The result is a core software engine that lets the user handle and filter data and the same time instantly visualise it in 3D. This will aid the user in identifying hidden structures and patterns. Over the last two years major efforts have been made to optimise the early ideas and to develop a core software engine that is extremely fast, allowing the user to explore and analyse high-dimensional data sets with the use of a normal PC, interactively and in real time.

Qlucore was founded in early 2007 and the first product released was the “Qlucore Gene Expression Explorer 1.0”. The latest version of this software, now called Qlucore Omics Explorer, represents a major step forward with advanced statistics support. All user action is at most two mouse clicks away. The company’s early customers are mainly from the Life-science and Biotech industries, but solutions for other industries are currently under development.

One of the key methods used by Qlucore Omics Explorer to visualise data is dynamic principal component analysis (PCA), an innovative way of combining PCA analysis with immediate user interaction. PCA analysis works by projecting high dimensional data down to lower dimensions. The specific projections of the high-dimensional data are chosen in order to maintain as much variance as possible in the projected data set. With Qlucore Omics Explorer, data is projected and plotted on the two dimensional computer screen and then rotated manually or automatically.

Advances in computers and biotechnology have had an immense impact on the biomedical fields, with broad consequences for humanity. Correspondingly, new areas of probability and statistics are being developed specifically to meet the needs of this area. There is now a necessity for a text that introduces probability and statistics in the bioinformatics context. This book also describes some of the main statistical applications in the field, including BLAST, gene finding, and evolutionary inference, much of which has not yet been summarized in an introductory textbook format. This book grew out of a need to teach bioinformatics to graduate students at the University of Pennsylvania. At the same time however, it is organized to appeal to a wider audience. In particular it should appeal to any biologist or computer scientist who wants to know more about the statistical methods of the field, as well as to a trained statistician who wishes to become involved in bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level, and will be accessible to students who have only had introductory calculus and linear algebra. Later chapters are immediately accessible to the trained statistician. Only a basic understanding of biological concepts is assumed, and all concepts are explained when used or can be understood from the context. Several chapters contain material independent of that in other chapters, so that the reader interested in certain areas can proceed directly to those areas. Warren Ewens is Professor of Biology at the University of Pennsylvania. He is the author of two books, Population Genetics and Mathematical Population Genetics, and has served on the editorial boards of Theoretical Population Biology, GENETICS, Proceeding of the Royal Society B and SIAM Journal in Mathematical Biology. He was recently awarded the Gold Medal of the Australian Statistical Society and elected as Fellow of the Royal Society. His research interests are in evolutionary population genetics, linkage analysis for human diseases, and bioinformatics. Gregory Grant is a bioinformatics researcher at the University of Pennsylvania in the Computational Biology and Informatics Laboratory (CBIL), where he has been since 1998. In 1995 he received a Ph.D. in Mathematics from the University of Maryland and in 1999 a Masters in Computer Science from the University of Pennsylvania. His research interests are in bioinformatics in general and in particular in the statistical analysis of gene expression data and significance testing methods for IBD-mapping.

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Statistical Analysis of Network Data: Methods and Models (Springer Series in Statistics)

In the past decade, the study of networks has increased dramatically. Researchers from across the sciences—including biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, and statistics—are more and more involved with the collection and statistical analysis of network-indexed data. As a result, statistical methods and models are being developed in this area at a furious pace, with contributions coming from a wide spectrum of disciplines.

This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation entails a conscious balance of concepts versus mathematics. In addition, the examples—including extended cases studies—are drawn widely from the literature. This book should be of substantial interest both to statisticians and to anyone else working in the area of ‘network science.’

The coverage of topics in this book is broad, but unfolds in a systematic manner, moving from descriptive (or exploratory) methods, to sampling, to modeling and inference. Specific topics include network mapping, characterization of network structure, network sampling, and the modeling, inference, and prediction of networks, network processes, and network flows. This book is the first such resource to present material on all of these core topics in one place.

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Joined-up healthcare makes information available when and where it is needed to improve safety, efficiency and effectiveness. Politicians may take interoperability between healthcare computer systems for granted, but it is non-trivial. Healthcare integration projects are notoriously under-estimated and come in over-budget and over-time.

Joined-up healthcare depends on standards. The two leading standards are the SNOMED CT, which is a clinical terminology (semantics) and HL7 Version 3, which is a specialised healthcare interoperability language (syntax). Both are new, complex and fit for purpose.

Tim Benson believes there is an unmet need for a book on Healthcare Integration. Some health informatics textbooks include chapters on HL7 and/or SNOMED, but these are usually quite short and cannot provide even an adequate introduction. There is little of much value on the Internet, or in journals or conference proceedings.

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The practice of modern medicine requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and conduct research. This book, inspired by a Stanford University training program developed to introduce health professionals to computer applications in modern medical care, fills the need for a high quality text in computers and medicine, and meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. The work is designed for a broad audience interested in the intersection of computer science and medicine.

Completely revised and expanded, the Third Edition (previously titled “Medical Informatics”) includes several new chapters filled with brand new material.  This book will provide both a conceptual framework and a practical approach for the implementation and management of IT used to improve the delivery of health care. Designed for use by professors and students of medical informatics and for practicing professionals, this book will focus on the role of computers in the provision of medical services. Biomedial Informatics, Third Edition, provides the conceptual base needed to comprehend and utilize medical informatics through easy to understand examples that demonstrate how computers assist in the delivery of health care.  This text also includes pointers to additional literature, chapter summaries, and concise definition of recurring terms for self-study or classroom use.

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View full post on bioinformatics Jobs | Indeed.com

View full post on bioinformatics Jobs | Indeed.com