Uncertainty is the norm in medical practice, yet often gives rise to distress in clinicians, who fear they will make shameful or guilt inducing errors. This book offers a succinct method to clinicians for classifying uncertainty and finding the right skills to manage different types of uncertainty successfully. Every clinician experiences moments when 'they don't know what to do'. Modern medicine is increasingly complex and training has also become more complicated. The days of 'see one, do one, teach one' are over. Yet, both younger clinicians and senior practitioners describe uncertainty as one of the most challenging and stressful aspects of clinical work. If uncertainty is uncomfortable or threatening to individual practitioners, it also provides complex educational challenges. How can we learn to cope with uncertainty effectively ourselves? How can we teach others to understand and manage uncertainty? In this ground breaking book, the authors propose ways to cut through uncertainty, which is explored as an inevitable (and even desirable) component of clinical practice. A Map of Uncertainty in Medicine (MUM) is used to classify uncertainty and to define the skills that will help find a way though practical difficulties. It is always good to have your MUM with you in a tricky situation!

Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.

Uncertainty is the norm in medical practice, yet often gives rise to distress in clinicians, who fear they will make shameful or guilt inducing errors. This book offers a succinct method to clinicians for classifying uncertainty and finding the right skills to manage different types of uncertainty successfully. Every clinician experiences moments when 'they don't know what to do'. Modern medicine is increasingly complex and training has also become more complicated. The days of 'see one, do one, teach one' are over. Yet, both younger clinicians and senior practitioners describe uncertainty as one of the most challenging and stressful aspects of clinical work. If uncertainty is uncomfortable or threatening to individual practitioners, it also provides complex educational challenges. How can we learn to cope with uncertainty effectively ourselves? How can we teach others to understand and manage uncertainty? In this ground breaking book, the authors propose ways to cut through uncertainty, which is explored as an inevitable (and even desirable) component of clinical practice. A Map of Uncertainty in Medicine (MUM) is used to classify uncertainty and to define the skills that will help find a way though practical difficulties. It is always good to have your MUM with you in a tricky situation! Selling points If you experience uncertainty in clinical practice this book: - will help you understand it, help you manage it effectively and improve your stress levels and resilience as a result - help you share and manage uncertainty with patients and colleagues - provides effective teaching approaches. Audience Clinicians in training in all specialties and experienced clinicians looking to expand their skills or teach and train others to deal with uncertainty. Training Programme Directors. Secondary audiences: Nurse Practitioners/Clinical Nurse Specialists working in Primary Care or Accident and Emergency GPs and family doctors overseas. Needs met: personal and professional development.

From the groundbreaking author of The Second Sex comes a radical argument for ethical responsibility and freedom. In this classic introduction to existentialist thought, French philosopher Simone de Beauvoir’s The Ethics of Ambiguity simultaneously pays homage to and grapples with her French contemporaries, philosophers Jean-Paul Sartre and Maurice Merleau-Ponty, by arguing that the freedoms in existentialism carry with them certain ethical responsibilities. De Beauvoir outlines a series of “ways of being” (the adventurer, the passionate person, the lover, the artist, and the intellectual), each of which overcomes the former’s deficiencies, and therefore can live up to the responsibilities of freedom. Ultimately, de Beauvoir argues that in order to achieve true freedom, one must battle against the choices and activities of those who suppress it. The Ethics of Ambiguity is the book that launched Simone de Beauvoir’s feminist and existential philosophy. It remains a concise yet thorough examination of existence and what it means to be human.

It has been recognised by governments and healthcare organisations worldwide that for Universal Healthcare in pursuit of Health for All under the Sustainable Development Goals to be achieved, effective primary care that is integrated, accessible, and affordable for everyone is essential. This practical guide is the first designed specifically to support those planning and conducting family medicine/primary care education within medical schools around the world. It offers medical educators a collection of concise easy to follow chapters, guiding the reader through the curriculum requirements with key references for further detail. Plain English and practical, deliverable advice, adaptable to different contexts, ensures the content is accessible to those educating medical students in any country, while the structure within sections ensures that family medicine doctors and educators can dip into chapters relevant to their roles, for example curriculum design for academic educators or teaching methods for those educating in clinical practice. Key Features ■ The first “how-to” guide dedicated to effective integration of family medicine teaching into medical school curricula ■ Offers a strong evidence-based framework for integrating family medicine into medical schools ■ Wide in scope, for academics and educationalists at all levels and in all geographies, reflecting and embracing the experience and variation in family medicine across the globe to produce pragmatic and effective information on which medical schools can base change ■ Step-by-step introduction to the processes of literature review (establishing the existing knowledge base), choosing a topic, research questions, and methodology, conducting research, and disseminating results ■ Supported by the WONCA Working Party on Education The book is edited and authored by members of the World Organization of Family Doctors (WONCA) Working Party on Education, which is ideally placed to offer a strong platform for medical schools to integrate family medicine whatever the local context, enabling all future doctors, whatever their career aspiration, to understand the importance of family medicine to health systems and holistic medicine and encourage family medicine doctors to inspire students to consider a career in the field.

The Power of Colleagues What happens when primary care clinicians meet together on set aside time in their practice settings to talk about their own patients? .....Complimenting quality metrics or performance measures through discussing the actual stories of individual patients and their clinician-patient relationships In these settings, how can clinicians pool their collective experience and apply that to ‘the evidence’ for an individual patient? .....Especially for patients who do not fit the standard protocols and have vague and worrisome symptoms, poor response to treatment, unpredictable disease courses, and/or compromised abilities for shared decision making What follows when discussion about individual patients reveals system-wide service gaps and coordination limitations? .....Particularly for patients with complex clinical problems that fall outside performance monitors and quality screens How can collaborative engagement of case-based uncertainties with one’s colleagues help combat the loneliness and helplessness that PCPs can experience, no matter what model or setting in which they practice? .....And where they are expected to practice coordinated, evidence-based, EMR-directed care These questions inspired Lucia Sommers and John Launer and their international contributors to explore the power of colleagues in “Clinical Uncertainty in Primary Care: The Challenge of Collaborative Engagement” and offer antidotes to sub-optimal care that can result when clinicians go it alone. From the Foreword: “Lucia Sommers and John Launer, with the accompanying input of their contributing authors, have done a deeply insightful and close-to-exhaustive job of defining clinical uncertainty. They identify its origins, components and subtypes; demonstrate the ways in which and the extent to which it is intrinsic to medicine...and they present a cogent case for its special relationship to primary care practice...‘Clinical Uncertainty in Primary Care’ not only presents a model of collegial collaboration and support, it also implicitly legitimates it.’’ Renee Fox, Annenberg Professor Emerita of the Social Sciences, University of Pennsylvania.

Essential, required reading for doctors and patients alike: A Pulitzer Prize-winning author and one of the world’s premiere cancer researchers reveals an urgent philosophy on the little-known principles that govern medicine—and how understanding these principles can empower us all. Over a decade ago, when Siddhartha Mukherjee was a young, exhausted, and isolated medical resident, he discovered a book that would forever change the way he understood the medical profession. The book, The Youngest Science, forced Dr. Mukherjee to ask himself an urgent, fundamental question: Is medicine a “science”? Sciences must have laws—statements of truth based on repeated experiments that describe some universal attribute of nature. But does medicine have laws like other sciences? Dr. Mukherjee has spent his career pondering this question—a question that would ultimately produce some of most serious thinking he would do around the tenets of his discipline—culminating in The Laws of Medicine. In this important treatise, he investigates the most perplexing and illuminating cases of his career that ultimately led him to identify the three key principles that govern medicine. Brimming with fascinating historical details and modern medical wonders, this important book is a fascinating glimpse into the struggles and Eureka! moments that people outside of the medical profession rarely see. Written with Dr. Mukherjee’s signature eloquence and passionate prose, The Laws of Medicine is a critical read, not just for those in the medical profession, but for everyone who is moved to better understand how their health and well-being is being treated. Ultimately, this book lays the groundwork for a new way of understanding medicine, now and into the future.

A smart, current, and witty introduction to brain science. Accompanied by illustrations, examples of cutting edge imaging technologies, and sidebars by key neuroscientists.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

This upper level textbook provides a coherent introduction to the economic implications of individual and population ageing. Placing economic considerations into a wider social sciences context, this is ideal reading not only for advanced undergraduate and masters students in economics, health economics and the economics of ageing, but also policy makers, students, professionals and practitioners in gerontology, sociology, health-related sciences and social care. This volume discusses the fiscal implications of ageing, health economics and long-term care. Fiscal policy issues include generational accounting and national transfer accounts, the relationship between ageing, public expenditure and fiscal policy, the age profiles of public expenditures and taxes, and the relationship between ageing, capital and labour taxation. Health economics with regard to ageing comprises healthy and disability-free life expectancy, the relationship between health inequalities and age, the macroeconomic implications of population health, the socio-economic determinants of health, the interaction between ageing and both individual and aggregate health expenditure, and economic approaches to valuing later life. This volume closes with an exposition of the economics of formal and informal care, as well as questions around insurance, risk and the so-called `sandwich generation'.