How to be a More Efficient Radiologist: A Guide to Practice, Reporting, and Workflow Optimization


Book Description

Formal training in radiology focuses on the identification and characterization of abnormality. Such skills are necessarily, but not sufficient to thrive in modern practice. One of the greatest predictors of professional satisfaction and overall productivity for radiologists is work efficiency – a skill not often formally taught. This book provides a comprehensive review of techniques that a radiologist may use to improve work speed, without compromising quality. Small differences across many domains (e.g., image analysis, reporting, and communication) add up to large differences in work efficiency. Topics covered in this text include (though are not limited to): Why Developing Efficiency is a Training Priority Overarching Principles in Improving Efficiency PACS Interface Optimization Overview of Effective Reporting Efficient Dictation Tips Macro Optimization Macro Special Functions and Organization Educational Preparation (For Residents and Fellows) Workflow Organization (For Attendings and Practices) Physiological and Cognitive Optimization Environmental Optimization Hardware Optimization AutoHotKey and Macro Scripting Automation, Informatics, and Other Efficiencies The Future of Radiologic Efficiency Even if a hundred of hours of education early in one's career were required to develop a 1% improvement in speed, our estimates suggest that this would produce a greater than 500% return on investment in reclaimed hours and compensation over time. Most trainees and radiologists are likely to achieve far greater (10-100%) improvements in speed with dedicated efforts. Not all variation in efficiency is easily modified. However, the strategies we discuss can help radiologists hone their abilities to the greatest extent possible. This book can be a useful guide on your journey in becoming the best – most accurate, thoughtful, and efficient – radiologist you can be.




The Radiology Report


Book Description

An essential resource for medical imaging professionals, this book provides everything you need to create exceptional radiology reports. In an accessible and informal style, one of the foremost experts on radiology reporting gives you practical tips for precise image interpretation and clear communication. This book should be required reading for radiologists in training, and is destined to become an indispensable part of every radiologist's library. Topics include: * The virtues of "normal" * How to say "I don't know" * Building a rhetorical foundation * Spatial relationships * Making recommendations * Suggesting clinical correlation * The hedge * Severity straddling * Size matters * Eponyms in radiology * A summary of reporting best practices * How speech recognition works * Optimizing your speech recognition * Templates and macros * The history of radiology reporting * Structured reporting case study * Structured reporting: what you can do today * Standard terminology for the radiology report * How to think about imaging information * Logic, probability, and the radiology report * Decision making in radiology * The radiology report in 2025




Artificial Intelligence in Medical Imaging


Book Description

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.




A Brief Guide to the Neuroradiology Fellowship


Book Description

Few graduating residents are ready for the demands of subspecialty neuroradiology. This is in part because there remain gaps in the educational literature prior to fellowship. Subspecialty practice requires familiarity with exams and procedures that residents rarely encounter. Neuroimaging is frequently both high complexity and high acuity. The beginning of fellowship can therefore present the steepest and highest stakes learning curve encountered during the whole of radiology training. The goal of this text is to provide a primer for this challenging year. Search patterns, procedure checklists, recommended resources, and tips for efficiency are presented in as accessible a manner as possible. This book is everything I wish I had known and everything I would pass on to each new trainee. I’m sure it’ll be a useful tool on your path to becoming an excellent neuroradiologist and physician.




SPEED - MSK Radiology


Book Description

A guide for all radiologists reporting MSK studies. Learn how to improve your speed and how to report more studies faster. In the age of artificial intelligence, this book shows you how to increase your value as a radiologists. The book was not written to teach you MSK, but how to apply your knowledge in a systematic manner to increase your output. Nevertheless, the book is packed with knowledge pearls that the Author acquired during his training in New York (NYU) and Zurich (Balgrist) and from his own research.




Search Pattern: A Systematic Approach to Diagnostic Imaging


Book Description

Search Pattern is a collection of step-by-step guides to more than a hundred of the most common types of studies in radiology. Blind spots reported in the literature as well as practical wisdom from experts is synthesized into highly structured processes that can guide the development of better practice. Much of the contained insight has never been organized in one place before. Search Pattern covers almost every type of study that a radiologist will encounter in training or practice. This text is written with the assumption that the reader has familiarity with basic radiologic terminology, anatomy, and physics. In the interest of brevity, almost all information outside of the organized approaches is omitted. The reader is encouraged to look up terms, images, and background information from supplementary resources. Formalized teaching of search patterns is a missing part of the educational literature in our field. Hopefully this book helps fill that void. It is one that I would have benefited from greatly when I was a resident.




Improving Diagnosis in Health Care


Book Description

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.




Quality and Safety in Radiology


Book Description

Radiology has been transformed by new imaging advances and a greater demand for imaging, along with a much lower tolerance for error as part of the Quality & Safety revolution in healthcare. With a greater emphasis on patient safety and quality in imaging practice, imaging specialists are increasingly charged with ensuring patient safety and demonstrating that everything done for patients in their care meets the highest quality and safety standards. This book offers practical guidance on understanding, creating, and implementing quality management programs in Radiology. Chapters are comprehensive, detailed, and organized into three sections: Core Concepts, Management Concepts, and Educational & Special Concepts. Discussions are applicable to all practice settings: community hospitals, private practice, academic radiology, and government/military practice, as well as to those preparing for the quality and safety questions on the American Board of Radiology's "Maintenance of Certification" or initial Board Certification Examinations. Bringing together the various elements that comprise the quality and safety agenda for Radiology, this book serves as a thorough roadmap and resource for radiologists, technicians, and radiology managers and administrators.




EHR Governance


Book Description

Organizations spend large amounts of money to purchase, deploy, and optimize their Electronic Health Records (EHRs). They are not plug-n-play systems so a commitment to an ongoing improvement cycle is necessary. When done well, this responds to the people, the process, and the technology. When not done well, complete failure of the system could result in costing the organization thousands of dollars. Based on the foundational premise that EHR governance done right speeds up change and leads to a positive user experience, this book draws upon more than a decade of work with government, academic, and nonprofit organizations using Epic, Allscripts, McKesson, Meditech, and Cerner. Designed to be practical and pragmatic, it outlines a strategic process that can scale to small and large organizations alike. It begins with how to articulate a clear vision to organizational leaders so they can champion strong EHR governance both theoretically and financially. It then walks through each step required for leading successful change, calling out critical lessons learned to help the reader avoid pitfalls and achieve measurable improvement more rapidly. It concludes with a commitment to ongoing growth and refinement through benchmarked metrics, innovation, and out-of-the-box thinking.




Artificial Intelligence in Healthcare


Book Description

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