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"This report is all about people and using computers to connect them and their healthcare information. It is a report about how we get consumers and clinicians to use these tools, how we pay for them, and what we want the computers to do. But computers are only a tool, a means to an end. We have focused this report on computers because they seem to be the best tool--and maybe the only tool--that will allow the nation to change the way healthcare works... This report articulates a vision of an information-connected healthcare system, where consumers' privacy is protected and their convenience facilitated, where doctors and nurses have the information they need to efficiently deliver safe and effective care, where our public health and homeland security can be protected while still guarding each individual's privacy. The report recommends specific actions and broader policy objectives, all with the goal of allowing healthcare to effectively use computers and information technology. If followed, the Commission's recommendations will accelerate healthcare's transformation." [From Foreword].
This collection aims to explore the transformative potential of computer vision and artificial intelligence (AI) in revolutionizing medical imaging. Medical imaging is still in a state of infancy. The interpretation of medical images is often time-consuming and subject to human error. By leveraging computer vision algorithms and AI technologies, medical imaging can be enhanced with automated analysis, pattern recognition, and predictive modelling, leading to improved accuracy, speed, and clinical outcomes. This collection provides an overview of the current state, challenges, and prospects of integrating computer vision and AI techniques into existing medical imaging technologies. Medical imaging has the potential to create a paradigm shift in healthcare in future enhancing diagnostic accuracy, personalised treatment, and overall patient care. While challenges related to data quality, interpretability, and ethics must be navigated, the future for AI based imaging technology is bright.
Most industries have plunged into data automation, but health care organizations have lagged in moving patients' medical records from paper to computers. In its first edition, this book presented a blueprint for introducing the computer-based patient record (CPR). The revised edition adds new information to the original book. One section describes recent developments, including the creation of a computer-based patient record institute. An international chapter highlights what is new in this still-emerging technology. An expert committee explores the potential of machine-readable CPRs to improve diagnostic and care decisions, provide a database for policymaking, and much more, addressing these key questions: Who uses patient records? What technology is available and what further research is necessary to meet users' needs? What should government, medical organizations, and others do to make the transition to CPRs? The volume also explores such issues as privacy and confidentiality, costs, the need for training, legal barriers to CPRs, and other key topics.
Health statistics have been an essential tool for improving the health of populations for centuries. This book provides an account of the concepts and underpinnings of the subject, giving a broad and detailed view of the sources and uses of the data and explores issues confronting the enterprise.