Major goals of health care in the 21st century are to make health care more efficient and less costly. These goals can be accomplished by implementation of evidence-based care; greater coordination of patient care; implementation of preventive care and wellness measures; and the evaluation of outcomes of care to identify improved ways to provide care. A universal patient medical record can help achieve these goals of more efficient and less costly health care.
This book describes how an automated patient medical record could be built that could evolve into a universal patient record. Such a universal patient record would change medical care from a focus on short-term care to one oriented to long-term, preventive-care. It would remove patient care from being the province of the single physician to that of the responsibility of many different healthcare providers, possibly located anywhere in the world.
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 book provides readers with a snapshot of cutting-edge methods and procedures in industrial design, with a particular focus on human-centered and user-experience design, service design, sustainable design and applications of virtual & augmented reality. Reporting on both theoretical and practical investigations aimed at improving industrial design through interdisciplinary collaboration, it covers a wide range of topics – from design strategies to product research and planning, exhibit design, as well as new materials and color research. Based on the AHFE 2018 International Conference on Interdisciplinary Practice in Industrial Design, held on July 21–25, 2018, in Orlando, Florida, USA, the book offers a timely guide for industrial designers, production engineers and computer scientists.
The four-volume set LNCS 6765-6768 constitutes the refereed proceedings of the 6th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2011, held as Part of HCI International 2011, in Orlando, FL, USA, in July 2011, jointly with 10 other conferences addressing the latest research and development efforts and highlighting the human aspects of design and use of computing systems. The 70 revised papers included in the second volume were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: user models, personas and virtual humans; older people in the information society; designing for users diversity; cultural and emotional aspects; and eye tracking, gestures and brain interfaces.
This book constitutes the refereed proceedings of the 18th International Conference on Information and Communications Security, ICISC 2016, held in Singapore, Singapore, in November/December 2016. The 20 revised full papers and 16 short papers presented were carefully selected from 60 submissions. The papers cover topics such as IoT security; cloud security; applied cryptography; attack behaviour analytics; authentication and authorization; engineering issues of cryptographic and security systems; privacy protection; risk evaluation and security; key management and language-based security; and network security.
With the development of advanced screening procedures and techniques, certain limitations of the existing screening processes for disease methodologies and paradigms have been noted. More accurate and less invasive screening methods are needed to diagnose and treat health disorders and diseases before symptoms appear. Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention is a pivotal reference source that utilizes advanced ICT techniques to solve problems in health data collection, analysis, and interpretation, as well as improve existing health systems for the advanced screening of diseases. Using non-invasive biomedical sensor devices and internet of things technology, this book examines safer methods to accelerate disease detection and effectively treat patients while challenging previously used pre-screening processes. While highlighting topics such as the applications of machine learning, patient safety, diagnostics models, and condition management, this publication is ideally designed for healthcare specialists, researchers in health informatics, industry practitioners, and academics.
With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.
This two-volume set LNCS 13192-12193 constitutes the refereed proceedings of the 17th International Conference on Information for a Better World: Shaping the Global Future, held in February 2022. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and the 29 short papers presented in this volume were carefully reviewed and selected from 167 submissions. They cover topics such as: Library and Information Science; Information Governance and Ethics; Data Science; Human-Computer Interaction and Technology ̧ Information Behaviour and Retrieval ̧ Communities and Media ̧ Health Informatics.
