This textbook introduces the legal principles pertinent to the health care field. Written by a lawyer, the book addresses the principles of liability, patient records requirements, confidentiality and informed consent, medical records as evidence, HIV information, and the security of computerized patient records. The second edition adds a chapter on health care fraud and abuse. Annotation c. Book News, Inc., Portland, OR.
"Legal and Ethical Essentials for Health Care Administration provides a framework for the learner to understand legal issues affecting healthcare delivery, help the reader apply evaluate and distinguish between the rightness and wrongness of alternative courses of action when faced with complex ethical dilemmas"--
There can be few aspects of life which have altered so dramatically in the past few decades as the relationship between medicine and the law. Treatments become more and more sophisticated as each advance in medicine is made. At the same time, the legal and moral issues surrounding such treatments have multiplied and have become increasingly sensitive and complex. Introducing the reader to important topics which include genetics, consent, negligence, research, assisted reproduction and mental health, the book outlines what the current law is, why it is so and what it may become in the future. Legal and Ethical Aspects of Healthcare is written by a lawyer and a doctor, each with extensive practical experience in the field. It provides wide-ranging coverage of the most important ethical and moral issues that face healthcare professionals, lawyers and the general public alike and it offers a unique insight into the problems that healthcare providers and patients can be expected to encounter both today and in the future. All healthcare professionals at any level of training or practice, lawyers and interested members of the general public. Book jacket.
Legal and Ethical Issues for Health Professionals, Fifth Edition is a concise and practical guide to legal and ethical dilemmas facing healthcare professionals in the real-world today. Thoroughly updated and featuring new case studies, this dynamic text will help students to better understand the issues they will face on the job and the implications in the legal arena. With contemporary topics, real-world examples, and accessible language, this comprehensive text offers students an applied perspective and the opportunity to develop critical thinking skills. Legal and Ethical Issues for Health Professionals provides an effective transition from the classroom to the reality of a clinical environment.
Reference for clinicians and healthcare information management professionals, addressing the multifaceted ethical challenges of working with sensitive health information in an ethical way. Features Web site addresses for additional resources, real-life scenarios, and a consistent structure that reinforces the material.
This third edition features updated Health Insurance Portability and Accountability Act (HIPAA) content, new content concerning the Genetic Information Nondiscrimination Act and the American Recovery and Reinvestment Act (ARRA), and more.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
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.
Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution. Ethical Data and Information Management offers a practical guide for people in organizations who are tasked with implementing information management projects. It sets out, in a clear and structured way, the fundamentals of ethics, and provides practical and pragmatic methods for organizations to embed ethical principles and practices into their management and governance of information. Written by global experts in the field, Ethical Data and Information Management is an important book addressing a topic high on the information management agenda. Key coverage includes how to build ethical checks and balances into data governance decision making; using quality management methods to assess and evaluate the ethical nature of processing during design; change methods to communicate ethical values; how to avoid common problems that affect ethical action; and how to make the business case for ethical behaviours.
