Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Evidence-Based Emergency Medicine, a highly readable primer, will be the first book to teach EBM principles and their clinical application with the unique mindset and needs of the Emergency Medicine physician in mind This one-of-a-kind guide discusses the search, evaluation, and proper use of the literature of emergency medicine, from textbooks to trials and qualitative studies to systematic reviews. It reveals how and where to find the quality information needed when seconds count. Fully exploring medical decision making using cognitive psychology, Bayesian analysis and more, it shows how to apply the knowledge they provide to achieve superior diagnosis and management of ED patients. The avoidance of medical errors is emphasized through the precepts of critical thinking and heuristics.

Looking for a brief but authoritative resource to help you manage the types of complex cardiac, pulmonary, and neurological emergencies you encounter as a resident or attending emergency room physician? Look no further than Decision Making in Emergency Critical Care: An Evidence-Based Handbook. This portable guide to rational clinical decision-making in the challenging – and changing – world of emergency critical care provides in every chapter a streamlined review of a common problem in critical care medicine, along with evidence-based guidelines and summary tables of landmark literature. Features Prepare for effective critical care practice in the emergency room’s often chaotic and resource-limited environment with expert guidance from fellows and attending physicians in the fields of emergency medicine, pulmonary and critical care medicine, cardiology, gastroenterology, and neurocritical care. Master critical care fundamentals as experts guide you through the initial resuscitation and the continued management of critical care patients during their first 24 hours of intensive care. Confidently make sustained, data-driven decisions for the critically ill patient using expert information on everything from hemodynamic monitoring and critical care ultrasonography to sepsis and septic shock to the ED-ICU transfer of care.

This book for emergency physicians and fellows training in emergency medicine provides evidence-based information on what diagnostic tests to ask for and when and how to use particular decision rules. The new edition builds on the success of the current book by modifying the presentation of the evidence, increasing the coverage, and updating the current information throughout.

This popular reference facilitates diagnostic and therapeutic decision making for a wide range of common and often complex problems faced in outpatient and inpatient medicine. Comprehensive algorithmic decision trees guide you through more than 245 disorders organized by sign, symptom, problem, or laboratory abnormality. The brief text accompanying each algorithm explains the key steps of the decision making process, giving you the clear, clinical guidelines you need to successfully manage even your toughest cases. An algorithmic format makes it easy to apply the practical, decision-making approaches used by seasoned clinicians in daily practice. Comprehensive coverage of general and internal medicine helps you successfully diagnose and manage a full range of diseases and disorders related to women's health, emergency medicine, urology, behavioral medicine, pharmacology, and much more. A Table of Contents arranged by organ system helps you to quickly and easily zero in on the information you need. More than a dozen new topics focus on the key diseases and disorders encountered in daily practice. Fully updated decision trees guide you through the latest diagnostic and management guidelines.

Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.

This text explains and illustrates the importance of 12-lead electrocardiograms (ECGs) in making rapid and informed decisions in cardiac care. It covers the logical steps to the ECG recognition of the underlying mechanism of cardiac emergencies, their prognostic significance, and the best treatment

Despite diagnosis being the key feature of a physician's clinical performance, this is the first book that deals specifically with the topic. In recent years, however, considerable interest has been shown in this area and significant developments have occurred in two main areas: a) an awareness and increasing understanding of the critical role of clinical decision making in the process of diagnosis, and of the multiple factors that impact it, and b) a similar appreciation of the role of the healthcare system in supporting clinicians in their efforts to make accurate diagnoses. Although medicine has seen major gains in knowledge and technology over the last few decades, there is a consensus that the diagnostic failure rate remains in the order of 10-15%. This book provides an overview of the major issues in this area, in particular focusing on where the diagnostic process fails, and where improvements might be made.

The book covers various scenarios when errors, biases and systemic barriers prevail in emergency medicine, discusses their impact, and then offers solutions to mitigate their undesired outcomes. The process of clinical reasoning in emergency medicine is a complex exercise in cognition, judgment and problem-solving that is prone to mistakes. The book presents various cases written by a team of emergency specialists and trainees in an engaging format that is helpful for the practicing and teaching emergency doctor and trainees. The book discusses 60 different types of biases and errors with clinical cases, and knowledge of strategies to mitigate them—a concept known as ‘cognitive debiasing’ that has the potential to reduce diagnostic error, and therefore, morbidity and mortality. It aims to help the readers during assessment of patients in the emergency department. Each chapter includes 4 cases illustrating the bias, error or barrier discussed, followed by a potential solution. This book helps in polishing the thinking and behavior of the readers so to potentially enhance their clinical competence in emergency department.

"Evidence based medicine (EBM) is the integration of the best known scientific evidence with clinical experience. Bridging the gap between the latest research and clinical application is always a challenge. This text is designed to bridge this gap"--

This updated and expanded third edition contains all the essential information to help you apply decision making to your clinical role as a healthcare professional. Chapters have been brought in line with the latest guidance and developments as the paramedic profession has evolved, emphasising the importance and complexities of critical thinking and decision making relevant to all practice settings. The new edition also includes aspects of professionalism, understanding why things go wrong, and clinical leadership, as well as an additional chapter on inclusive decision making. Key features include: • A comprehensive overview of decision-making theory and how it applies to the paramedic role • Updated case studies chapter • Practice tips and checklists • Evidence-based and up-to-date with latest guidance • Ethical and professional considerations within paramedic practice This book will be essential reading for student paramedics as well as qualified paramedics, ambulance clinicians, and wider healthcare professional groups undertaking continuous professional development. The book will support healthcare professionals interested in the theory and practice of decision-making in clinical practice.