Clinical Research Computing

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

This extensively revised new edition comprehensively reviews the rise of clinical research informatics (CRI). It enables the reader to develop a thorough understanding of how CRI has developed and the evolving challenges facing the biomedical informatician in the modern clinical research environment. Emphasis is placed on the changing role of the consumer, and the need to merge clinical care delivery and research as part of a changing paradigm in global healthcare delivery. Clinical Research Informatics presents a detailed review of using informatics in the continually evolving clinical research environment. It represents a valuable textbook reference for all students and practising healthcare informaticians looking to learn and expand their understanding of this fast-moving and increasingly important discipline.

The purpose of the book is to provide an overview of clinical research (types), activities, and areas where informatics and IT could fit into various activities and business practices. This book will introduce and apply informatics concepts only as they have particular relevance to clinical research settings.

Performing fieldwork in healthcare settings is significantly different from fieldwork in other domains and it presents unique challenges to researchers. Whilst results are reported in research papers, the details of how to actually perform these fieldwork studies are not. This is the first of two volumes designed as a collective graduate guidebook for conducting fieldwork in healthcare. This volume brings together the experiences of established researchers who do fieldwork in clinical and non-clinical settings, focusing on how people interact with healthcare technology, in the form of case studies. These case studies are all personal, reflective accounts of challenges faced and lessons learned, which future researchers might also learn from. We open with an account of studies in the Operating Room, focusing on the role of the researcher, and how participants engage and resist engaging with the research process. Subsequent case studies address themes in a variety of hospital settings, which highlight the variability that is experienced across study settings and the importance of context in shaping what is possible when conducting research in hospitals. Recognising and dealing with emotions, strategies for gaining access, and data gathering are themes that pervade the studies. Later case studies introduce research involving collaborative design and intervention studies, which seek to have an immediate impact on practice. Mental health is a theme of two intervention studies as we move out of the hospital to engage with vulnerable participants suffering from long-term conditions and people in the home. This volume closes with an intervention study in the developing world that ends with some tips for conducting studies in healthcare. Such tips are synthesised through the thematic chapters presented in the companion volume.

This scholarly new book assesses the content, technologies, and methodologies of research into computer applications in mental health. Contributions by a host of professionals--including researchers, computer specialists, clinicians, administrators, and managers of mental health organizations--focus on the clinical applications of computers in the mental health field and the implementation and management of new technologies to facilitate clinical care. Practical recommendations are included in the area of research on mental health computer use. This book will clarify for you the major problem areas in mental health computer research, their readiness for study, and appropriate research methodologies. The text thoroughly explores the efforts needed to realize the potential of new technologies; technologies that will greatly facilitate clinical care and the management of patient populations.

Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant developments in the field of computational intelligence, combined with the emergence of high-performance computing is impacting society in many ways, and the health sector is no exception. The interface of high-performance computing, computational intelligence and medical science, has seen the emergence of intelligent medical systems. These systems can provide a deeper insight into many healthcare and medical problems. They can also aid in controlling, analyzing and the management of medical applications and can provide significant improvement in the quality of life and efficacy of clinical treatment. However, the successful application of high-performance computing in medicine requires in-depth knowledge and understanding of medical systems. This book focuses on the advances and applications of high-performance computing for medical systems and provides an insight into the latest developments in the field. It will help readers to understand the high-performance computing research domain as related to intelligent medical systems, its effect on our lives and its present limitations. Part of IOP Series in Next Generation Computing.