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39,717 result(s) for "Health Data processing."
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Digital health and the gamification of life : how apps can promote a positive medicalization
This book analyzes the role of health apps to promote medicalization. It considers whether their use is an individual matter, rather than a political and social one, with some apps based on a medical framework positively promoting physical activity and meditation, or whether data-sharing can foster social discrimination.
Review of EPA's Integrated Risk Information System (IRIS) Process
The Integrated Risk Information System (IRIS) is a program within the US Environmental Protection Agency (EPA) that is responsible for developing toxicologic assessments of environmental contaminants.An IRIS assessment contains hazard identifications and dose-response assessments of various chemicals related to cancer and noncancer outcomes.
The last mile on the route to quality service delivery in Jordan
This report begins to fill this gap by investigating the role of within-facility accountability mechanisms in the education and health sectors of Jordan. To do this, an analysis of existing and original data from these sectors was conducted in which the association of within-facility monitoring and provider effort was quantified.
Healthcare analytics for quality and performance improvement
Improve patient outcomes, lower costs, reduce fraud—all with healthcare analytics Healthcare Analytics for Quality and Performance Improvement walks your healthcare organization from relying on generic reports and dashboards to developing powerful analytic applications that drive effective decision-making throughout your organization. Renowned healthcare analytics leader Trevor Strome reveals in this groundbreaking volume the true potential of analytics to harness the vast amounts of data being generated in order to improve the decision-making ability of healthcare managers and improvement teams. * Examines how technology has impacted healthcare delivery * Discusses the challenge facing healthcare organizations: to leverage advances in both clinical and information technology to improve quality and performance while containing costs * Explores the tools and techniques to analyze and extract value from healthcare data * Demonstrates how the clinical, business, and technology components of healthcare organizations (HCOs) must work together to leverage analytics Other industries are already taking advantage of big data. Healthcare Analytics for Quality and Performance Improvement helps the healthcare industry make the most of the precious data already at its fingertips for long-overdue quality and performance improvement.
Hazard analysis techniques for system safety
\"This book explains, in detail, how to perform the most commonly used hazard analysis techniques employed by the system safety engineering discipline. The book also explains when and why to use each technique. The goal of this book is to explain each technique with sufficient detail and examples that the techniques can be easily understood and performed by the reader. The book is not overly technical, and can be easily understood by readers with a minimal amount of technical background. This book gathers the techniques safety analysts can apply into one reference source and describes them in a way that benefits both new and seasoned safety analysts. In addition, this book describes the three components that comprise a hazard, and how to use these components to recognized hazards during an analysis. It includes detailed examples that apply the methodology to everyday problems, making the concepts easier for the reader to grasp. The new edition updates the chapters with the latest information and includes new chapters on Concepts of Hazard Recognition, as well as chapters that address new techniques added in MIL-STD-882E and techniques that are becoming popular in different industries such as: Environmental Hazard Analysis, Process Hazard Analysis, Test Hazard Analysis, Job Hazard Analysis, and System of Systems Hazard Analysis\"-- Provided by publisher.
Information systems for healthcare management
This bestseller provides readers with the comprehensive knowledge necessary to understand healthcare information technology (HIT) and to hone their skills in HIT management. The book explores the areas where leaders must exhibit basic awareness or competency, including hardware, software, and communication systems; operational, management, and clinical applications; and selection, implementation, and valuation. Each chapter has been updated to reflect current trends and challenges in the field as well as the implications of the 2010 healthcare reform law and other relevant federal mandates. Each chapter also features learning objectives, web resources, and discussion questions. This revised edition includes a glossary that clarifies technical terms as well as a list of abbreviations for important terms. Links to Internet sources are provided to supplement the information on the major topics covered in each chapter.
Handbook on augmenting telehealth services : using artificial intelligence
This handbook offers a cross-disciplinary perspective, models, and innovations in telehealth systems that utilize AI technologies such as machine learning, augmented reality, virtual reality, big data management, and IoT as it discusses various methods for remote care support and services.
COVID 19 - Monitoring with IoT Devices
In the battle against the COVID-19 pandemic, the integration of Internet of Things (IoT) technologies has played a pivotal role in reshaping public health and healthcare delivery. Interconnected devices have demonstrated their capacity to collect, transmit, and analyze data, significantly impacting various aspects of pandemic management. COVID-19 - Monitoring with IoT Devices is a comprehensive guide to measuring the impact of COVID-19 infection and monitoring outbreak metrics. Beginning with an introduction to SARS-CoV-2 and its symptoms, the book presents chapters on machine learning (supervised and unsupervised algorithms) and techniques to predict COVID-19 outcomes. The book concludes with the role of IoT technology in detecting COVID-19 infections within a community, showcasing different computing models applicable to specific use-cases. Key Features: Explores the pivotal role of IoT technology in the fight against the COVID-19 pandemic. Covers a data-driven approach to COVID-19 monitoring by explaining methods for data collection, prediction, and analysis. Includes specific recommendations for machine learning algorithms designed for COVID-19 monitoring. Easy-to-read structured chapters suitable for novices in computer science and biomedical engineering. COVID-19 - Monitoring with IoT Devices provides a valuable resource for understanding the role of IoT technology in managing and mitigating the impact of COVID-19, and developing adequate infection control policies. It also showcases the potential of IoT for future research and applications in the healthcare sector. This book is intended for a diverse readership, including academicians, industry professionals, researchers, and healthcare practitioners.
Disease surveillance : technological contributions to global health security
Providing an overview of disease surveillance, this text frames a roadmap of how newer technologies may allow all countries of the world to reach compliance with the IHR (International Health Regulations) established by the World Health Organization as it pertains to disease detection.
Health Information Technology in the International Context
This volume focuses on management issues in the international context of health information technology (HIT). Nations around the globe have established policies designed to improve the computerization of their health care systems. It is believed that the adoption of HIT including clinical information systems, decision support systems, and networks or systems that facilitate the exchange of clinical and other health data will yield various desirable outcomes. These outcomes may include improvements in the quality of care, a reduction in medical errors, boosts in efficiencies, and improved provider and patient satisfaction. The purpose of this volume on HIT in the international context is to facilitate the exchange of management theory, best practice, implementation challenges, and the impact of adoption as it pertains to HIT adoption in one or more international settings. It offers a holistic viewpoint on health information technology use in health care organizations and systems, providing a managerial perspective from authors around the world that will prove useful for health care practitioners across a variety of settings.