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Digitalization and Innovation in Health
Providing a comparison between context in Europe and the US, this volume investigates the digital transformation of health systems, comparing strategies for digital development while identifying both key innovations and future challenges. The book covers a wide spectrum of topics, from explaining the nature of individual innovations to an analysis of demand-side and supply-side barriers, including funding issues and technological access. It also explores where digitalization is already playing an important role, for example, in clinical trials and disease modeling. Concluding with guidance for policy recommendations, this important book will interest students, scholars, and practitioners across health and social care, medicine, and beyond.
Springer Handbook of Engineering Statistics
In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.
Economics and Mathematical Modeling in Health-Related Research
The definition of a healthcare system evolves continuously, becoming broader and more complex with each rendering. Healthcare systems can consist of many different elements, including but not limited to: access to comprehensive medical care, health promotion, disease prevention, institutional framework, financing schemes, government responsibility over health, etc. In light of its broad classification of healthcare, this book focuses on a wide spectrum of health-related issues ranging from risk factors for disease to medical treatment and possible frameworks for healthcare systems. Aging populations, increasing costs of healthcare, advancing technology, and challenges created by the COVID-19...
Statistical Modelling and Risk Analysis
This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.
Theory and Practice of Risk Assessment
This book covers the latest results in the field of risk analysis. Presented topics include probabilistic models in cancer research, models and methods in longevity, epidemiology of cancer risk, engineering reliability and economical risk problems. The contributions of this volume originate from the 5th International Conference on Risk Analysis (ICRA 5). The conference brought together researchers and practitioners working in the field of risk analysis in order to present new theoretical and computational methods with applications in biology, environmental sciences, public health, economics and finance.
Reliability Engineering
Reliability theory is a multidisciplinary science aimed at developing complex systems that are resistant to failures. Reliability engineering has emerged as a main field not only for scientists and researchers, but also for engineers and industrial managers. This book covers the recent developments in reliability engineering. It presents new theoretical issues that were not previously published, as well as the solutions of practical problems and case studies illustrating the applications methodology. This book is written by a number of leading scientists, analysts, mathematicians, statisticians, and engineers who have been working on the front end of reliability science and engineering. Reli...
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