More than one in six men will develop prostate cancer in their lifetime. In recent years there has been an explosion of information regarding PSA screening and biomarkers for the disease. In Prostate Cancer Screening, Second Edition, the world's leading experts on prostate cancer detection update the first edition with the latest findings. The book incorporates a series of thoughtful and cutting-edge works from the world's experts in prostate cancer screening, ranging from the current status quo of prostate cancer screening across the globe to consensus on optimal utilization of the traditional PSA and DRE tests, to cutting-edge research in new biomarkers, biomeasures, and extended risk algorithms for prostate cancer. An additional chapter covers family-based linkage analysis as well as possible pitfalls in prostate cancer biomarker evaluation studies. Timely and authoritative, Prostate Cancer Screening, Second Edition, is an essential text for urologists, oncologists and family physicians, as well as researchers in the biomarker industry who seek methods to better develop and support markers and measures of prostate cancer.

Valuation is a hot topic among life sciences professionals. There is no clear understanding on how to use the different valuation approaches and how to determine input parameters. Some do not value at all, arguing that it is not possible to get realistic and objective numbers out of it. Some claim it to be an art. In the following chapters we will provide the user with a concise val- tion manual, providing transparency and practical insight for all dealing with valuation in life sciences: project and portfolio managers, licensing executives, business developers, technology transfer managers, entrep- neurs, investors, and analysts. The purpose of the book is to explain how to apply discounted cash flow and real options valuation to life sciences p- jects, i.e. to license contracts, patents, and firms. We explain the fun- mentals and the pitfalls with case studies so that the reader is capable of performing the valuations on his own and repeat the theory in the exercises and case studies. The book is structured in five parts: In the first part, the introduction, we discuss the role of the players in the life sciences industry and their p- ticular interests. We describe why valuation is important to them, where they need it, and the current problems to it. The second part deals with the input parameters required for valuation in life sciences, i.e. success rates, costs, peak sales, and timelines.

Concepts and Trends in Healthcare Information Systems covers the latest research topics in the field from leading researchers and practitioners. This book offers theory-driven research that explores the role of Information Systems in the delivery of healthcare in its diverse organizational and regulatory settings. In addition to the embedded role of Information Technology (IT) in clinical and diagnostics equipment, Information Systems are uniquely positioned to capture, store, process, and communicate timely information to decision makers for better coordination of healthcare at both the individual and population levels. For example, data mining and decision support capabilities can identify potential adverse events for an individual patient while also contributing to the population s health by providing insights into the causes of disease complications.Information systems have great potential to reduce healthcare costs and improve outcomes. The healthcare delivery systems share similar characteristics with most service and productive organizations, but also exhibit specific characteristics, which are related to the complexity and diversity of healthcare production, including the dissimilar ways healthcare professionals discharge their clinical tasks. New requirements and technological advances occurring in healthcare, information systems, and information technology have influenced the evolving role of healthcare information systems and related technology, and this book will help bring the field up to date."

The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 100 papers included in the second volume have been organized in the following topical sections: biophysical modeling and simulation; atlas-based transfer of boundary conditions for biomechanical simulation; temporal and motion modeling; computer-aided diagnosis; pediatric imaging; endoscopy; ultrasound imaging; machine learning; cardiovascular imaging; intervention planning and guidance; and brain.

This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.

Advances in medicine have brought us the stethoscope, artificial kidneys, and computerized health records. They have also changed the doctor-patient relationship. This book explores how the technologies of medicine are created and how we respond to the problems and successes of their use. Stanley Joel Reiser, MD, walks us through the ways medical innovations exert their influence by discussing a number of selected technologies, including the X-ray, ultrasound, and respirator. Reiser creates a new understanding of thinking about how health care is practiced in the United States and thereby suggests new methods to effectively meet the challenges of living with technological medicine. As healthcare reform continues to be an intensely debated topic in America, Technological Medicine shows us the pros and cons of applying technological solutions health and illness.

Despite all the jokes about the poor quality of physician handwriting, physician adoption of computerized provider order entry (CPOE) in hospitals still lags behind other industries' use of technology. As of the end of 2010, less than 22% of hospitals had deployed CPOE. Yet experts claim that this technology reduces over 80% of medication errors and could prevent an estimated 522,000 serious medication errors annually in the US. Even though the federal government has offered $20 billion dollars in incentives to hospitals and health systems through the 2009 stimulus (the ARRA HITECH section of the American Recovery and Reinvestment Act of 2009), many organizations are struggling to implement advanced clinical information systems including CPOE. In addition, industry experts estimate that the healthcare industry is lacking as many as 40,000 persons with expertise in clinical informatics necessary to make it all happen by the 2016 deadline for these incentives. While the scientific literature contains numerous studies and stories about CPOE, no one has written a comprehensive, practical guide like Making CPOE Work. While early adopters of CPOE were mainly academic hospitals, community hospitals are now proceeding with CPOE projects and need a comprehensive guide. Making CPOE Work is a book that will provide a concise guide to help both new and experienced health informatics teams successfully plan and implement CPOE. The book, in a narrative style, draws on the author's decade-long experiences of implementing CPOE at a variety of academic, pediatric and community hospitals across the United States.

The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 53 papers included in the third volume have been organized in the following topical sections: shape and population analysis; brain; diffusion MRI; and machine learning.

This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. The 9 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 29 submissions. The focus of the conference was on the latest Research in Pattern Recognition and Computational Intelligence-Based Techniques Applied to Problems in Bioinformatics and Computational Biology.

The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 100 papers included in the first volume have been organized in the following topical sections: microstructure imaging; image reconstruction and enhancement; registration; segmentation; intervention planning and guidance; oncology; and optical imaging.

Over the next few years, the Connecting for Health IT programme for the NHS in England is due to implement electronic prescribing systems at all hospitals in England. Furthermore, the other UK countries are likely to follow suit with clinical IT implementation programmes, and these developments will generate interest in electronic prescribing at European and international level. There is therefore likely to be an exponential growth in the significance of electronic prescribing over the next ten years. Principles of Electronic Prescribing discusses the basic principles of design and implementation of secondary care electronic medicines management systems, and how their design and configuration can impact on benefits realization, hospital workflow and clinical practice.

This book provides a broad overview of the topic Bioinformatics with focus on data, information and knowledge. From data acquisition and storage to visualization, ranging through privacy, regulatory and other practical and theoretical topics, the author touches several fundamental aspects of the innovative interface between Medical and Technology domains that is Biomedical Informatics. Each chapter starts by providing a useful inventory of definitions and commonly used acronyms for each topic and throughout the text, the reader finds several real-world examples, methodologies and ideas that complement the technical and theoretical background. This new edition includes new sections at the end of each chapter, called "future outlook and research avenues," providing pointers to future challenges. At the beginning of each chapter a new section called "key problems", has been added, where the author discusses possible traps and unsolvable or major problems.

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Symposium on Foundations of Health Information Engineering and Systems, FHIES 2013, held in Macau, China, in August 2013. The 19 revised full papers presented together with 1 invited talk in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in following subjects: panel position statements, pathways, generation and certification, interoperability, patient safety, device safety, formal methods and HIV/AIDS and privacy.

The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output. Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.

The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 81 papers included in the third volume have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing; imaging, reconstruction, and enhancement; segmentation; physiological modeling, simulation, and planning; intraoperative guidance and robotics; microscope, optical imaging, and histology; diffusion MRI; brain segmentation and atlases; and functional MRI and neuroscience applications.

Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorough introduction to the biological and technical principles behind multiplatform high-throughput experimentation.

AIDS is the fourth leading cause of death among women of childbearing age and is increasing by about 8% a year in this group. * And yet, our understanding of the impact of HIV and AIDS on women's lives remains fragmented and incomplete. After a decade of struggling with mounting surveys of risk behavior, clinical trials, and behavioral interventions that were based primarily on experience with gay communities in large cities and, subsequently, on the needs of injection drug users, we have not given programs for women the attention they require if they are to be meaningful, effective, and gender appropriate. This book will introduce the reader to the range of complex issues of HIV and AIDS in women's lives. Ann O'Leary and Loretta Sweet Jemmott have assembled an impres sive list of authors who have contributed chapters from different disciplinary viewpoints. The reader will find information on prevention programs that have been effective for adolescent girls, on culturally specific strategies for African American and Latina women, and on the multiple issues of sub stance use and HIV that need to be faced by any outreach and intervention programs for drug-using women.

The current book presents select proceedings from the Eleventh Annual Conference of AASMI (The American Association for the Study of Mental Imagery) in Washington, DC, 1989, and from the Twelfth Annual Conference of AASMI in Lowell and Boston, MA, 1990. This presentation of keynote addresses, research papers, and clinical workshops reflects a broad range of theoretical positions and a diverse repertoire of methodological approaches. Within this breadth and diversity, however, four aspects of the nature of imagery stand out: its mental nature, its private nature, its conscious nature, and its symbolic nature. The mental nature of imagery--i.e., its epistemological aspect--is explored in the book's first section of articles by Marcia Johnson, Laura Snodgrass, Leonard Giambra and Alicia Grodsky, Vija Lusebrink, Selina Kassels, Helane Rosenberg and Yakov Epstein, M. Elizabeth D'Zamko and Lynne Schwab, and Laurence Martel. These first eight articles fall, essentially, into various domains of cognitive psychology, including the psychology of art and educational psychology. In the second section, the private nature of imagery is studied by Ernest Hartmann, Nicholas Spanos, Benjamin Wallace, Deirdre Barrett, John Connolly, James Honeycutt, Dominique Gendrin, and James Honeycutt and J. Michael Gotcher. These studies, which fall within the realm of personality and social psychology, bring to light the fact that many very public interpersonal behaviors reflect very private images. Such behaviors range from interpersonal rapport with a hypnotist, to rapport with a forensic jury.

This text provides a foundation for the initiation of advocacy efforts and for the evaluation of their success and includes topics such as: specific strategies, grassroots advocacy efforts, formation and development of coalitions, advocacy efforts in legislatures, administrative agencies, court, and the media. It is of interest to public and urban health workers, social workers, community organizers, and legislators.

Responding to demographic changes among physicians and six years of new experiences since the first edition, Dr. Myers has revamped his well received work. He includes new information on older physicians, gay and lesbian physicians, medical student abuse, economic strain on interns, depression, malpractice, ethical violations, and other stressors which may cause marital difficulties. Therapists seeking to council symptomatic physicians, as well physicians themselves, will find this a humane, readable, and useful book.

This volume is for students and practitioners interested in improving their understanding and skills in the area of needs assessment. The text follows the typical sequence of an actual needs assessment process. Case studies are used to illustrate conceptualization of the task through the application of needs-based data to effective public health solutions. Examples are drawn from myriad public health efforts, recognizing that not all public health sector agencies bear direct responsibility for all activities that could be considered part of public health.

The field of health psychology has grown dramatically in the last decade, with exciting new developments in the study of how psychological and psychosocial processes contribute to risk for and disease sequelae for a variety of medical problems. In addition, the quality and effectiveness of many of our treatments, and health promotion and disease prevention efforts, have been significantly enhanced by the contributions of health psychologists (Taylor, 1995). Unfortunately, however, much of the theo rizing in health psychology and the empirical research that derives from it continue to reflect the mainstream bias of psychology and medicine, both of which have a primary focus on white, heterosexual, middle-class American men. This bias pervades our thinking despite the demographic heterogeneity of American society (U. S. Bureau of the Census, 1992) and the substantial body of epidemiologic evidence that indicates significant group differences in health status, burden of morbidity and mortality, life expectancy, quality of life, and the risk and protective factors that con tribute to these differences in health outcomes (National Center for Health Statistics, 1994; Myers, Kagawa-Singer, Kumanyika, Lex, & M- kides, 1995). There is also substantial evidence that many of the health promotion and disease prevention efforts that have proven effective with more affluent, educated whites, on whom they were developed, may not yield comparable results when used with populations that differ by eth nicity, social class, gender, or sexual orientation (Cochran & Mays, 1991; Castro, Coe, Gutierres, & Saenz, this volume; Chesney & Nealey, this volume).

Following both a patient and an employee through a physician visit, this is a "how-to" manual for implementing practice management solutions. The first section provides information and examples prior to the patient visit, and includes examples of physicians who utilize email and Web sites to attract patients, electronic scheduling systems to decrease wait time, and registration systems which can verify insurance information. The second section focuses on electronic medical records, electronic referral systems, billing and collection systems, and follow-up patient education and discharge information, thus portraying the "future physician office visit." The third section centres on the physician practice manager's daily operations and how technology can achieve efficacy.

Information technology constantly changes and quickly becomes obsolete. The methodology of planning and implementing a health care information system, however, is more constant. Through practical, step-by-step guidelines, the author demonstrates how to establish the strategy and architecture against which vendor and system decisions must be made. Both management and technical perspectives are discussed. Thus, regardless of the technology used, the health care administrator and systems manager learn to implement information systems successfully and to link those systems with business strategy to achieve higher quality and more cost-effective patient care.