This series of books focuses on highly specialized Emergency Management arrangements for healthcare facilities and organizations. It is designed to assist any healthcare executive with a body of knowledge which permits a transition into the application of emergency management planning and procedures for healthcare facilities and organizations.This series is intended for both experienced practitioners of both healthcare management and emergency management, and also for students of these two disciplines.

Businesses exist to provide goods and services to customers, and in doing so, they take risks. Among these risks is the chance of losing money in lawsuits filed by customers, employees, and others negatively impacted by the business. Insurance provides some protection against these liabilities, but lawsuits still take their toll. This book covers the subject of economic damages and its role in insurance claims, lawsuits, and injunctions against businesses. This book will help the reader to identify economic damages as a component of business liability, describe the business risk posed by economic damages, explain some key determinants of economic damages, and estimate economic damages and business loss in a variety of cases.

Artificial Intelligence Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.

This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1985.

Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we'll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them. This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It's a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.

When people need healthcare, few worry about being harmed by someone from the medical team making a mistake. Unfortunately, mistakes do happen, and many of the adverse events are not only serious but also preventable. Many countries struggle with top-heavy systems, in which decisions are made about how care is provided by those who are far from experienced in caring for patients. This must change. Professionals at the sharp end need support, structure, and help organizing necessary information to create a safe culture, a learning environment, and safe patient care-all at lower costs. This handbook provides tools for designing a structure for a management system, as well as the tools for documenting processes within it. The starting point is based on current safety research. The book is designed for medical professionals, managers, project members, politicians, public officials, and executives-all who work with patient safety matters. The content shows a new way to healthcare management, presenting an alternative approach together with concrete advice on how healthcare executives and practitioners can begin to think and act differently in order to provide safe healthcare.

Artificial Intelligence for Security explores terminologies of security and how AI can be applied to automate security processes. Additionally, the text provides detailed explanations and recommendations for how implement procedures. Practical examples and real-time use cases are evaluated and suggest appropriate algorithms based on the author's experiences. Threat and associated securities from the data, process, people, things (e.g., Internet of things), systems, and actions were used to develop security knowledge base, which will help readers to build their own knowledge base. This book will help the readers to start their AI journey on security and how data can be applied to drive business actions to build secure environment.

Artificial Intelligence for Risk Management is about using AI to manage risk in the corporate environment. The content of this work focuses on concepts, principles, and practical applications that are relevant to the corporate and technology environments. The authors introduce AI and discuss the different types, capabilities, and purposes-including challenges. With AI also comes risk. This book defines risk, provides examples, and includes information on the risk-management process. Having a solid knowledge base for an AI project is key and this book will help readers define the knowledge base needed for an AI project by developing and identifying objectives of the risk-knowledge base and knowledge acquisition for risk. This book will help you become a contributor on an AI team and learn how to tell a compelling story with AI to drive business action on risk.

This book bridges the gap between the accounting and the actuarial sides of Indian life insurance companies, by exploring the relationships between the embedded value calculated by actuaries and the revenue account and balance sheet prepared by the accountants. The author provides publicly available sources of information to place a value on the shares of Indian life insurance companies from an outsider's point of view. Life insurance company accounts are complex and require knowledge of specific concepts in order to analyze and appreciate them. This book will help a layperson with reasonable numerical abilities understand the calculation of the share price of a life insurance company. In particular, it will help analysts and accountants with no actuarial background understand the concepts of embedded and appraisal value. Cash flow statements of these companies are often ignored and delegated to the background or usually to a single page in their annual reports. This book examines the cash flows in detail and rearranges them to get a better picture of the financial health of the underlying companies. It also explains the relationship between the different measures of profit such as cash reserves, surplus, profit after tax, and embedded value. Often this information is only available internally or to consultants. The author uses alternative approaches based purely on public disclosures by these companies, thereby enabling professionals without access to internal information to come to informed judgments about the actual performance of the companies.