The idea that there is a fundamental rift between researchers and practitioners should not come as a surprise to anyone familiar with the current literature, trends, and general feelings in the field of clinical psychology. Central to this scientist-practitioner gap is an underlying disagreement over the nature of knowledge - namely that while some individuals point to research studies as the foundation of truth, others argue that clinical experience offers a more adequate understanding of the causes, assessment, and treatment of mental illness. The Great Ideas of Clinical Science is an ambitious attempt to dig beneath these fundamental differences, and reintroduce the reader to unifying principles often overlooked by students and professionals alike. The editors have identified 17 such universals, and have pulled together a group of the most prolific minds in the field to present the philosophical, methodological, and conceptual ideas that define the state of the field. Each chapter focuses on practical as well as conceptual points, offering valuable insight to practicing clinicians, researchers, and teachers of any level of experience. Written for student, practitioner, researcher, and educated layperson, this integrative volume aims to facilitate communication among all mental health professionals and to narrow the scientist-practitioner gap.

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Clinical and Translational Science: Principles of Human Research, Second Edition, is the most authoritative and timely resource for the broad range of investigators taking on the challenge of clinical and translational science, a field that is devoted to investigating human health and disease, interventions, and outcomes for the purposes of developing new treatment approaches, devices, and modalities to improve health. This updated second edition has been prepared with an international perspective, beginning with fundamental principles, experimental design, epidemiology, traditional and new biostatistical approaches, and investigative tools. It presents complete instruction and guidance from fundamental principles, approaches, and infrastructure, especially for human genetics and genomics, human pharmacology, research in special populations, the societal context of human research, and the future of human research. The book moves on to discuss legal, social, and ethical issues, and concludes with a discussion of future prospects, providing readers with a comprehensive view of this rapidly developing area of science. Introduces novel physiological and therapeutic strategies for engaging the fastest growing scientific field in both the private sector and academic medicine Brings insights from international leaders into the discipline of clinical and translational science Addresses drug discovery, drug repurposing and development, innovative and improved approaches to go/no-go decisions in drug development, and traditional and innovative clinical trial designs

This is the first major text designed to help professionals and students evaluate the merits of popular yet controversial practices in clinical psychology, differentiating those that can stand up to the rigors of science from those that cannot. Leading researchers review widely used therapies for alcoholism, infantile autism, ADHD, and posttraumatic stress disorder; herbal remedies for depression and anxiety; suggestive techniques for memory recovery; and self-help models. Other topics covered include issues surrounding psychological expert testimony, the uses of projective assessment techniques, and unanswered questions about dissociative identity disorder. Providing knowledge to guide truly accountable mental health practice, the volume also imparts critical skills for designing and evaluating psychological research programs. It is ideal for use in advanced undergraduate- and graduate-level courses in clinical psychology, psychotherapy, and evidence-based practice.

The development of better processes to provide proper healthcare has enhanced contemporary society. By implementing effective collaborative strategies, this ensures proper quality and instruction for both the patient and medical practitioners. Health Care Delivery and Clinical Science: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest scholarly material on emerging strategies and methods for delivering optimal healthcare and examines the latest techniques and methods of clinical science. Highlighting a range of pertinent topics such as medication management, health literacy, and patient engagement, this multi-volume book is ideally designed for professionals, practitioners, researchers, academics, and graduate students interested in healthcare delivery and clinical science.

The idea that there is a fundamental rift between researchers and practitioners should not come as a surprise to anyone familiar with the current literature, trends, and general feelings in the field of clinical psychology. Central to this scientist-practitioner gap is an underlying disagreement over the nature of knowledge - namely that while some individuals point to research studies as the foundation of truth, others argue that clinical experience offers a more adequate understanding of the causes, assessment, and treatment of mental illness. The Great Ideas of Clinical Science is an ambitious attempt to dig beneath these fundamental differences, and reintroduce the reader to unifying principles often overlooked by students and professionals alike. The editors have identified 17 such universals, and have pulled together a group of the most prolific minds in the field to present the philosophical, methodological, and conceptual ideas that define the state of the field. Each chapter focuses on practical as well as conceptual points, offering valuable insight to practicing clinicians, researchers, and teachers of any level of experience. Written for student, practitioner, researcher, and educated layperson, this integrative volume aims to facilitate communication among all mental health professionals and to narrow the scientist-practitioner gap.