Fundamentals and Frontiers of Medical Education and Decision-Making brings together international experts to consider the theoretical, practical, and sociocultural foundations of health professions education. In this volume, the authors review the foundational theories that have informed the early transition to competency-based education. Moving beyond these monolithic models, the authors draw from learning and psychological sciences to provide a means to operationalize competencies. The chapters cover fundamental topics including the transition from novices to experts, the development of psychomotor skills in surgery, the role of emotion and metacognition in decision-making, and how practitioners and laypeople represent and communicate health information. Each section provides chapters that integrate and advance our understanding of health professions education and decision- making. Grounded in psychological science, this book highlights the fundamental issues faced by healthcare professionals, and the frontiers of learning and decision-making. It is important reading for a wide audience of healthcare professionals, healthcare administrators, as well as researchers in judgment and decision-making.

Providing a high level of autonomy for a human-machine team requires assumptions that address behavior and mutual trust. The performance of a human-machine team is maximized when the partnership provides mutual benefits that satisfy design rationales, balance of control, and the nature of autonomy. The distinctively different characteristics and features of humans and machines are likely why they have the potential to work well together, overcoming each other's weaknesses through cooperation, synergy, and interdependence which forms a “collective intelligence. Trust is bidirectional and two-sided; humans need to trust AI technology, but future AI technology may also need to trust humans.Putting AI in the Critical Loop: Assured Trust and Autonomy in Human-Machine Teams focuses on human-machine trust and “assured performance and operation in order to realize the potential of autonomy. This book aims to take on the primary challenges of bidirectional trust and performance of autonomous systems, providing readers with a review of the latest literature, the science of autonomy, and a clear path towards the autonomy of human-machine teams and systems. Throughout this book, the intersecting themes of collective intelligence, bidirectional trust, and continual assurance form the challenging and extraordinarily interesting themes which will help lay the groundwork for the audience to not only bridge the knowledge gaps, but also to advance this science to develop better solutions. Assesses the latest research advances, engineering challenges, and the theoretical gaps surrounding the question of autonomy Reviews the challenges of autonomy (e.g., trust, ethics, legalities, etc.), including gaps in the knowledge of the science Offers a path forward to solutions Investigates the value of trust by humans of HMTs, as well as the bidirectionality of trust, understanding how machines learn to trust their human teammates

Medical Decision Making provides clinicians with a powerful framework for helping patients make decisions that increase the likelihood that they will have the outcomes that are most consistent with their preferences. This new edition provides a thorough understanding of the key decision making infrastructure of clinical practice and explains the principles of medical decision making both for individual patients and the wider health care arena. It shows how to make the best clinical decisions based on the available evidence and how to use clinical guidelines and decision support systems in electronic medical records to shape practice guidelines and policies. Medical Decision Making is a valuable resource for all experienced and learning clinicians who wish to fully understand and apply decision modelling, enhance their practice and improve patient outcomes. “There is little doubt that in the future many clinical analyses will be based on the methods described in Medical Decision Making, and the book provides a basis for a critical appraisal of such policies.” - Jerome P. Kassirer M.D., Distinguished Professor, Tufts University School of Medicine, US and Visiting Professor, Stanford Medical School, US

Decision making is a key activity, perhaps the most important activity, in the practice of healthcare. Although physicians acquire a great deal of knowledge and specialised skills during their training and through their practice, it is in the exercise of clinical judgement and its application to individual patients that the outstanding physician is distinguished. This has become even more relevant as patients become increasingly welcomed as partners in a shared decision making process. This book translates the research and theory from the science of decision making into clinically useful tools and principles that can be applied by clinicians in the field. It considers issues of patient goals, uncertainty, judgement, choice, development of new information, and family and social concerns in healthcare. It helps to demystify decision theory by emphasizing concepts and clinical cases over mathematics and computation.

All the key principles of medical decision-making-in one compact, case-based guide "The book provides a comprehensive overview of many core principles in research design and analysis. It is logically organized, with clear learning objectives at the beginning of each chapter and pertinent examples to illustrate key concepts. The author does a wonderful job of simplifying a subject that has caused much confusion for many medical students and physicians....This is a book that I would enthusiastically recommend to other medical students. 5 Stars!"--Doody's Review Service Rational Medical Decision Making: A Case-Based Approach is a hands-on text that clarifies the process of evidence-based medical decision making like no other source. Following the trusted LANGE format, this portable volume is ideal for learning the fundamentals of evidence-based medical practice and skills. Whether you are a student, resident, or a clinician, here is where you'll find all the right tools-including case studies, learning objectives, and self-assessment exercises-to take your decision making skills to the next level. Features Full-spectrum coverage, from basic statistics, medical literature interpretation, and statistics and data application, to different types of research methodologies Case-based orientation in each chapter, featuring cases designed to highlight the important principles discussed in that chapter Focus on learning critical evidence-based medicine concepts, such as Positive Predictive Values, Number-Needed-to-Treat Statistics, Pre Test Probability, Sensitivity and Specificity, and more Engaging discussion of research methods in the context of diagnosis- and therapeutics-centered studies An overview of the construction and evidentiary basis of Clinical Practice Guidelines, with a look at their definition, purpose, and use in aiding patient care decisions “Anatomy of a Research Article” chapter that goes beyond the interpretation of medical literature to describe the process through which articles are published

Mastery of quality health care and patient safety begins as soon as we open the hospital doors for the first time and start acquiring practical experience. The acquisition of such experience includes much more than the development of sensorimotor skills and basic knowledge of sciences. It relies on effective reason, decision making, and communication shared by all health professionals, including physicians, nurses, dentists, pharmacists, and administrators. How to Think in Medicine, Reasoning, Decision Making, and Communications in Health Sciences is about these essential skills. It describes how physicians and health professionals reason, make decision, and practice medicine. Covering the basic considerations related to clinical and caregiver reasoning, it lays out a roadmap to help those new to health care as well as seasoned veterans overcome the complexities of working for the well-being of those who trust us with their physical and mental health. This book provides a step-by-step breakdown of the reasoning process for clinical work and clinical care. It examines both the general and medical ways of thinking, reasoning, argumentation, fact finding, and using evidence. It explores the principles of formal logic as applied to clinical problems and the use of evidence in logical reasoning. In addition to outline the fundamentals of decision making, it integrates coverage of clinical reasoning risk assessment, diagnosis, treatment, and prognosis in evidence-based medicine. Presented in four sections, this book discusses the history and position of the problem and the challenge of medical thinking; provides the philosophy interfacing topics of interest for health sciences professionals including the probabilities, uncertainties, risks, and other quantifications in health by steps of clinical work; decision making in clinical and community health care, research, and practice; Communication in clinical and community care including how to write medical articles, clinical case studies and case reporting, and oral and written communication in clinical and community practice and care.