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This book offers a philosophically-based, yet clinically-oriented perspective on current medical reasoning aiming at 1) identifying important forms of uncertainty permeating current clinical reasoning and practice 2) promoting the application of an abductive methodology in the health context in order to deal with those clinical uncertainties 3) bridging the gap between biomedical knowledge, clinical practice, and research and values in both clinical and philosophical literature. With a clear philosophical emphasis, the book investigates themes lying at the border between several disciplines, such as medicine, nursing, logic, epistemology, and philosophy of science; but also ethics, epidemiology, and statistics. At the same time, it critically discusses and compares several professional approaches to clinical practice such as the one of medical doctors, nurses and other clinical practitioners, showing the need for developing a unified framework of reasoning, which merges methods and resources from many different clinical but also non-clinical disciplines. In particular, this book shows how to leverage nursing knowledge and practice, which has been considerably neglected so far, to further shape the interdisciplinary nature of clinical reasoning. Furthermore, a thorough philosophical investigation on the values involved in health care is provided, based on both the clinical and philosophical literature. The book concludes by proposing an integrative approach to health and disease going beyond the so-called "classical biomedical model of care".
Clinical reasoning lies at the core of health care practice and education. Clinical Reasoning in the Health Professions, therefore, occupies a central place in the education of health professionals, the enhancement of professional decision making of individuals and groups of practitioners with their clients, and research into optimal practice reasoning. All chapters updated and 20 new chapters added Concrete examples, cases and vignettes were added to bring discussions to life for the reader Reflection points strategically placed to assist readers to extend their insights and build learning from their own practical experiences and theoretical knowledge Devices of particular value to reflective practitioners and educators All chapters updated and 20 new chapters added Concrete examples, cases and vignettes were added to bring discussions to life for the reader Reflection points strategically placed to assist readers to extend their insights and build learning from their own practical experiences and theoretical knowledge Devices of particular value to reflective practitioners and educators.
Professional Reasoning in Healthcare A guide to decision-making and critical thinking in diverse healthcare practice contexts. Professional reasoning is an essential component of health practice. To thrive in a world that demands constant change where there is not necessarily a right or wrong answer, strong frameworks are needed to support effective decision making. Critical to safe, ethical and culturally responsive practice decisions is the ability to integrate information from research evidence, the client, and the context/environment. Practitioners draw from these elements, along with the expertise of others, and through integration of the information with who they are, what they know, and how they operate. This creates a way forward that is right for the client, applicable to the context, and a good fit with themselves. This book provides such a framework. Professional Reasoning in Healthcare: Navigating Uncertainty Using the Five Finger Framework aims to drive a revolution in professional decision-making and critical analysis among healthcare professionals. Built around an innovative framework for fostering thinking, this book illustrates the situated nature of learning and the uniqueness of practice decisions to individual practitioners and clients. The simplicity of the Five Finger framework belies the complexity of reasoning it stimulates. Written using narratives, the reader is able to imagine the situation as the thinking is made visible. It provides simple yet effective tools and techniques for promoting reflective and reflexive thinking and for integrating the evidence into effective decisions. It promises to help readers develop habits of critical thinking that lead to healthier, more effective decision-making processes. Readers will find: Scenarios that bring the professional reasoning to life Tools and techniques to help translate theory into immediate practice Strategies to enhance reflective thinking skills, transformative learning, and sense-making Detailed discussion of topics including team culture, person-centred practice, social learning theory, cultural influences on reasoning, emotional intelligence, and more An overview of transdisciplinary thinking and a complexity-based view on ethics and values Professional Reasoning in Healthcare is ideal for healthcare professionals, managers, students, and educators who are charged with developing skills in making critical decisions in diverse practice contexts.
Clinical reasoning is the foundation of professional clinical practice. Totally revised and updated, this book continues to provide the essential text on the theoretical basis of clinical reasoning in the health professions and examines strategies for assisting learners, scholars and clinicians develop their reasoning expertise. key chapters revised and updated nature of clinical reasoning sections have been expanded increase in emphasis on collaborative reasoning core model of clinical reasoning has been revised and updated
"Although physicians make use of science, this book argues that medicine is not itself a science, but rather an interpretive practice that relies heavily on clinical reasoning." "In How Doctors Think, Kathryn Montgomery contends that assuming medicine is strictly a science can have adverse effects. She suggests these can be significantly reduced by recognizing the vital role of clinical judgment."--BOOK JACKET.
COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.
This Handbook offers the first comprehensive reference guide to the interdisciplinary field of abductive cognition, providing readers with extensive information on the process of reasoning to hypotheses in humans, animals, and in computational machines. It highlights the role of abduction in both theory practice: in generating and testing hypotheses and explanatory functions for various purposes and as an educational device. It merges logical, cognitive, epistemological and philosophical perspectives with more practical needs relating to the application of abduction across various disciplines and practices, such as in diagnosis, creative reasoning, scientific discovery, diagrammatic and ignorance-based cognition, and adversarial strategies. It also discusses the inferential role of models in hypothetical reasoning, abduction and creativity, including the process of development, implementation and manipulation for different scientific and technological purposes. Written by a group of internationally renowned experts in philosophy, logic, general epistemology, mathematics, cognitive, and computer science, as well as life sciences, engineering, architecture, and economics, the Handbook of Abductive Cognition offers a unique reference guide for readers approaching the process of reasoning to hypotheses from different perspectives and for various theoretical and practical purposes. Numerous diagrams, schemes and other visual representations are included to promote a better understanding of the relevant concepts and to make concepts highly accessible to an audience of scholars and students with different scientific backgrounds.
Medical uncertainty has been with us for centuries and remains a recurrent problem for patients, doctors, and researchers alike. Yet uncertainty in health care is still poorly understood and ineffectively managed; it is generally feared and avoided rather than directly confronted. This systemic disregard of uncertainty leads us to treat medical uncertainty as a pathological condition to be cured through the pursuit of knowledge, but often further medical knowledge begets further uncertainty in kind. Uncertainty in Medicine offers an alternative, multi-disciplinary perspective on this challenging problem. Integrating insights across clinical medicine and social science, Dr. Paul Han argues that uncertainty is an essential form of knowledge to be cultivated, rather than eradicated, in medical practice. He makes the case that the paradigm of medicine should be expanded to include not only the pursuit of medical knowledge but the treatment and palliation of medical uncertainty and its effects on physicians, other health professionals, and patients. Using clear language and a textbook approach, he analyzes the nature, etiology, and natural history of medical uncertainty, and develops a conceptual framework to guide its management. By promoting a more systematic way of conceptualizing the problem, this framework can enable clinicians and patients to better address medical uncertainty, and can help make uncertainty tolerance a more central focus of medical care. Rational and reassuring, Uncertainty in Medicine forges a new path for approaching medical uncertainty by arming readers from an array of disciplines with the tools they need to diagnose, treat, and confront its challenges more intentionally and effectively.
Decisions are influenced by a variety of fallacies and biases that we can learn how to avoid. Critical thinking values, knowledge, and skills, therefore, are integral to evidence-based practice. These emphasize the importance of recognizing ignorance as well as knowledge and the vital role of criticism in discovering how to make better decisions. This book is for clinicians--clinicians who are willing to say "I don't know." Critical Thinking in Clinical Practice, Second Edition is designed to enhance readers' skills in making well-informed, ethical decisions. Making such decisions is no easy task. Decisions are made in uncertain, changing environments with time pressures. Interested parties, such as the pharmaceutical industry, spend millions of dollars to influence decisions made. Drawing on a wide range of related literature, this book describes common pitfalls in clinical reasoning as well as strategies for avoiding them--sometimes called mind-tools. Mental health and allied professionals will come away from this text with knowledge of how classification decisions, a focus on pathology, and reliance on popularity can cause errors. Hazards involved in data collection and team decision making such as groupthink are discussed. Part 1 provides an overview of the context in which clinicians make decisions. Part 2 describes common sources of error. Part 3 describes decision aids including the process of evidence-based practice. Part 4 describes the application of related content to different helping phases including assessment, intervention, and evaluation. Part 5 suggests obstacles to making well-informed decisions and how to encourage lifelong learning. This new Second Edition has been completely updated with expanded coverage on: Evidence-based practice Screening issues and practice errors Lifelong learning Problem solving Decision making An interactive, dynamic book filled with insightful examples, useful lists and guidelines, and exercises geared to encourage critical thinking, Critical Thinking in Clinical Practice, Second Edition provides an essential resource for helping professionals and students.
Demands on healthcare systems are increasingly complex and diverse. Consumerism, multiculturalism and regulation challenge practitioners and policymakers. This has led to urgent debate about the value and purpose of healthcare as people seek to make serious, well-thought through decisions. This book helps readers to make rational decisions about healthcare provision in the context of complex and diverse values. It offers no easy solutions, instead presenting a range of perspectives and arguments on values-based practice, an increasingly influential approach to managing value-conflicts/differences in medicine, psychiatry, health and social care. Readers must make their own minds up about the controversies, but this book will give them a sense of the scene and the ability to defend their own position with clarity and confidence. This is a valuable resource for health practitioners and managers, academics in health services research and policy and students of management, bioethics, applied philosophy and political and social theory.