This book provides an up to date user friendly resource on the emerging field of digital medicine and its present and potential future role in modern healthcare. Chapters are written by a specialist on each area in an easy to read format, which broadly covers the potential of digital medicine in epidemiology, precision medicine and surgery. Chapters focus on aspects of telemedicine, the applications of big data, artificial intelligence, blockchain, regenerative medicine, legal aspects and business models. Furthermore, guidance is given on medical ethics and how to manage doctor patient relationships in the modern age. Digital Medicine comprehensively reviews the emerging field of digital medicine in modern healthcare and is therefore a critical resource for physicians and medical trainees who are looking for comprehensive resource on digital medicine and its potential role in modern healthcare.

Technology is changing how we practice medicine. Sensors and wearables are getting smaller and cheaper, and algorithms are becoming powerful enough to predict medical outcomes. Yet despite rapid advances, healthcare lags behind other industries in truly putting these technologies to use. A major barrier is the cross-disciplinary approach required to create digital tools, a process that requires knowledge from many people across a range of fields. 'Fast Facts: Digital Medicine – Measurement' aims to overcome that barrier, introducing the reader to core concepts and terms and facilitating dialogue. Contrasting 'clinical research' with routine 'clinical care', this short colorful book describes types of digital measurement and how to use and validate digital measures in different settings. And with the burgeoning development of digital medicine tools, the authors provide a timely overview of the security, ethical, regulatory and legal issues to be considered before a product can enter the market. Table of Contents: • What is digital medicine? • Where does digital medicine fit? • Regulatory considerations • Ethical principles and our responsibilities • Ethics in practice • Security, data rights and governance • Digital biomarkers and clinical outcomes • Measurement in clinical trials • Verification and validation • The future of digital medicine

Digital health and medical informatics have grown in importance in recent years, and have now become central to the provision of effective healthcare around the world. This book presents the proceedings of the 30th Medical Informatics Europe conference (MIE). This edition of the conference, hosted by the European Federation for Medical Informatics (EFMI) since the 1970s, was due to be held in Geneva, Switzerland in April 2020, but as a result of measures to prevent the spread of the Covid19 pandemic, the conference itself had to be cancelled. Nevertheless, because this collection of papers offers a wealth of knowledge and experience across the full spectrum of digital health and medicine, it was decided to publish the submissions accepted in the review process and confirmed by the Scientific Program Committee for publication, and these are published here as planned. The 232 papers are themed under 6 section headings: biomedical data, tools and methods; supporting care delivery; health and prevention; precision medicine and public health; human factors and citizen centered digital health; and ethics, legal and societal aspects. A 7th section deals with the Swiss personalized health network, and section 8 includes the 125 posters accepted for the conference. Offering an overview of current trends and developments in digital health and medical informatics, the book provides a valuable information resource for researchers and health practitioners alike.

To improve efficiency and reduce administrative costs, healthcare providers, insurance companies, and governments are increasingly using integrated electronic health record (EHR) and picture archiving and communication systems (PACS) to manage patients' medical information. Reflecting the latest applications of PACS technology, PACS and Digital Med

A professor of medicine reveals how technology like wireless internet, individual data, and personal genomics can be used to save lives.

This book presents a hands on approach to the digital health innovation and entrepreneurship roadmap for digital health entrepreneurs and medical professionals who are dissatisfied with the existing literature on or are contemplating getting involved in digital health entrepreneurship. Topics covered include regulatory affairs featuring detailed guidance on the legal environment, protecting digital health intellectual property in software, hardware and business processes, financing a digital health start up, cybersecurity best practice, and digital health business model testing for desirability, feasibility, and viability. Digital Health Entrepreneurship is directed to clinicians and other digital health entrepreneurs and stresses an interdisciplinary approach to product development, deployment, dissemination and implementation. It therefore provides an ideal resource for medical professionals across a broad range of disciplines seeking a greater understanding of digital health innovation and entrepreneurship.

In general, image processing texts are intended for students of engineering and computer science, and there is little written at all on the specific requirements of medical image processing. Students of medical radiation science (Diagnostic radiography, Nuclear medicine, Radiation therapy) usually have minimal mathematical and computer science training and find the available texts incomprehensible. A text that explains the principles of image processing in minimally-mathematical language is needed for these students. Contrary to the claims of some textbook authors, the vast majority of technologists that process images do not need to understand the mathematics involved, but would nevertheless benefit from a thorough understanding of the general process.