This text concentrates on providing practical illustrations of how the Internet can be of use to health professionals in their day-to-day work. The book is complemented by a series of World Wide Web pages, through which readers can link to the key medical resources, and an e-mail address for the author. The CD-ROM contains the entire searchable text, plus the illustrations in colour. Through the CD, readers can gain direct access to all Internet sites mentioned in the book. The author's top 10 medical resources on the Internet are also accessible on hhtp: //www.churhillmed.com - Churchill Livingstone's home page
The accessibility of health information on the Internet has revolutionized access to clinical information for health practitioners and patients. This access to information has the potential to make a major contribution to health care. However, the effective use of this accessibility depends on an understanding of all the issues involved, from the underlying technologies and economic pressures, to questions of how best to manage quality and privacy, how people seek and use information, and what the barriers to its use are. Cullen's book also examines the extent of health information on the Internet, the providers of websites and their content, and outlines the nature of the paradigm shift affecting knowledge in the health sector.
This comprehensive book celebrates the coming of age of narrativein health care. It uses narrative to go beyond the patient's storyand address social, cultural, ethical, psychological,organizational and linguistic issues. This book has been written to help health professionals andsocial scientists to use narrative more effectively in theireveryday work and writing. The book is split into three, comprehensive sections;Narratives, Counter-narratives and Meta-narratives.
This book's focus is on the decisions taken in consultations between health care patients and professionals. Clinician- patient partnerships in health care decisions are increasingly advocated. Evidence- based patient choice describes a model of health care in which the evidence-based approach can integrate with the promotion of consumer choice. The book examines the traditional approach and the changing experience and expectations of consumers. It describes with many clinical examples and patient narratives how to practice evidence-based patient choice, and explores the ethical, sociological and economic issues raised. It also addresses the future modifications to professional training and organisational change which are required if evidence-based patient choice is to become the norm and speculates about what is likely to be achieved in the next few years. The book provides a summary of current perspectives in this area, which will be of interest to consumers, their representative groups, and to professionals in practice and training alike. From the foreword by Richard Grol: 'An enormous challenge lies before us. In this new and challenging field Evidence-based patient choice is manna from heaven. It summarises the current state of knowledge about these new patient involvement approaches. It is by far the most comprehensive account of scientific and ethical thinking about patient choice at this moment. And, it manages to show us the way to a potential future: health care provision where patients and professionals operate as real partners with shared goals...'
In recent years, the Medical Internet of Things (MIoT) has emerged as one of the most helpful technological gifts to mankind. With the incredible development in data science, big data technologies, IoT and embedded systems, it is now possible to collect a huge amount of sensitive and personal data, compile it and store it through cloud or edge computing techniques. However, important concerns remain about security and privacy, the preservation of sensitive and personal data, and the efficient transfer, storage and processing of MIoT-based data. Medical Internet of Things: Techniques, Practices and Applications is an attempt to explore new ideas and novel techniques in the area of MIoT. The book is composed of fifteen chapters discussing basic concepts, issues, challenges, case studies and applications in MIoT. This book offers novel advances and applications of MIoT in a precise and clear manner to the research community to achieve in-depth knowledge in the field. This book will help those interested in the field as well as researchers to gain insight into different concepts and their importance in multifaceted applications of real life. This has been done to make the book more flexible and to stimulate further interest in the topic. Features: A systematic overview of concepts in Medical Internet of Things (MIoT) is included. Recent research and some pointers on future advancements in MIoT are discussed. Examples and case studies are included. It is written in an easy-to-understand style with the help of numerous figures and datasets. This book serves as a reference book for scientific investigators who are interested in working on MIoT, as well as researchers developing methodology in this field. It may also be used as a textbook for postgraduate-level courses in computer science or information technology.
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
This new guide focuses on the different uses and applications of biomedical information resources available on the Internet. It explains not only how to find the best information resources quickly and effectively, but also how to customise Internet tools to your own personal requirements. Both authors have been associated with the development of OMNI (Organising Medical Networked Information) and BIOME. Partial contents: Introduction; Electronic communication; Discussion lists and electronic fora; Electronic journals and newsletters; Teaching material and continuing medical education; Health care information; Consumer health information; Meetings and conferences; Grants and jobs; Directories of research projects and expertise; Search strategies; Customising your browser; Creating your own home pages.
This book addresses recent advances in data mining, learning, and analysis of big volume medical images resulting at a high rate from both real time systems and off line systems. The book includes privacy, trust, and security issues related to medical Big Data and related IoT and presents case studies in healthcare analytics as well.
