Ethics for Radiation Protection in Medicine

This book presents an up to date ethical framework for radiological protection in medicine. It is consistent with the requirements of the system of radiation protection and with the expectations of medical ethics. It presents an approach rooted in the medical tradition, and alert to contemporary social expectations. It provides readers with a practical framework against which they can assess the safety and acceptability of medical procedures, including patients’ concerns. It will be an invaluable reference for radiologists, radiation oncologists, regulators, medical physicists, technologists, other practitioners, as well as academics, researchers and students of radiation protection in medicine. Features: An authoritative and accessible guide, authored by a team who have contributed to defining the area internationally Includes numerous practical examples/clinical scenarios that illustrate the approach, presenting a pragmatic approach, rather than dwelling on philosophical theories Informed by the latest developments in the thinking of international organization

Ethics for Radiation Protection in Medicine

This book presents an up to date ethical framework for radiological protection in medicine. It is consistent with the requirements of the system of radiation protection and with the expectations of medical ethics. It presents an approach rooted in the medical tradition, and alert to contemporary social expectations. It provides readers with a practical framework against which they can assess the safety and acceptability of medical procedures, including patients’ concerns. It will be an invaluable reference for radiologists, radiation oncologists, regulators, medical physicists, technologists, other practitioners, as well as academics, researchers and students of radiation protection in medicine. Features: An authoritative and accessible guide, authored by a team who have contributed to defining the area internationally Includes numerous practical examples/clinical scenarios that illustrate the approach, presenting a pragmatic approach, rather than dwelling on philosophical theories Informed by the latest developments in the thinking of international organization

Resource Allocation in Networking and Computing Systems: A Security and Dependability Perspective

In recent years, there has been a trend to integrate networking and computing systems, whose management is getting increasingly complex. Resource allocation is one of the crucial aspects of managing such systems and is affected by this increased complexity. Resource allocation strategies aim to effectively maximize performance, system utilization, and profit by considering virtualization technologies, heterogeneous resources, context awareness, and other features. In such complex scenario, security and dependability are vital concerns that need to be considered in future computing and networking systems in order to provide the future advanced services, such as mission-critical applications. This paper provides a comprehensive survey of existing literature that considers security and dependability for resource allocation in computing and networking systems. The current research works are categorized by considering the allocated type of resources for different technologies, scenarios, issues, attributes, and solutions. The paper presents the research works on resource allocation that includes security and dependability, both singularly and jointly. The future research directions on resource allocation are also discussed. The paper shows how there are only a few works that, even singularly, consider security and dependability in resource allocation in the future computing and networking systems and highlights the importance of jointly considering security and dependability and the need for intelligent, adaptive and robust solutions. This paper aims to help the researchers effectively consider security and dependability in future networking and computing systems.publishedVersio

Ethical Issues in Managed Care: Can theTraditional Physician-Patient Relationship Be Preserved in the Era of Managed Care or Should It Be Replaced by a Group Ethic?

Over the last decade managed care has become the dominant form of health care delivery, because it has reduced the cost of health care; however, it has also created serious conflicts of interest for physicians and has threatened the integrity of the traditional physician-patient relationship. In this Article, Dr. Grochowski argues that the efficiencies created by managed care are one time savings and will not in the long run reduce the rate of rise of health care expenditures without a concomitant plan to ration health care. He explores the traditional physician-patient relationship and concludes: a) that while rationing of health care is inevitable, physicians must not ration care at the bedside; b) that physicians must be advocates for their patients; c) that physicians must avoid conflicts of interest whenever possible; d) that physicians must put the needs of the patient before their own self-interests; and e) that physicians must act in ways to promote trust in their relationship with patients

Medical Device Artificial Intelligence: The New Tort Frontier

The medical device industry and new technology start-ups have dramatically increased investment in artificial intelligence (AI) applications, including diagnostic tools and AI-enabled devices. These technologies have been positioned to reduce climbing health costs while simultaneously improving health outcomes. Technologies like AI-enabled surgical robots, AI-enabled insulin pumps, and cancer detection applications hold tremendous promise, yet without appropriate oversight, they will likely pose major safety issues. While preventative safety measures may reduce risk to patients using these technologies, effective regulatory-tort regimes also permit recovery when preventative solutions are insufficient. The Food and Drug Administration (FDA), the administrative agency responsible for overseeing the safety and efficacy of medical devices, has not effectively addressed AI system safety issues for its clearance processes. If the FDA cannot reasonably reduce the risk of injury for AI-enabled medical devices, injured patients should be able to rely on ex post recovery options, as in products liability cases. However, the Medical Device Amendments Act (MDA) of 1976 introduced an express preemption clause that the U.S. Supreme Court has interpreted to nearly foreclose liability claims, based almost completely on the comprehensiveness of FDA clearance review processes. At its inception, MDA preemption aimed to balance consumer interests in safe medical devices with efficient, consistent regulation to promote innovation and reduce costs. Although preemption remains an important mechanism for balancing injury risks with device availability, the introduction of AI software dramatically changes the risk profile for medical devices. Due to the inherent opacity and changeability of AI algorithms powering AI machines, it is nearly impossible to predict all potential safety hazards a faulty AI system might pose to patients. This Article identifies key preemption issues for AI machines as they affect ex ante and ex post regulatory-tort allocation, including actual FDA review for parallel claims, bifurcation of software and device reviews, and dynamics of the technology itself that may enable plaintiffs to avoid preemption. This Author then recommends an alternative conception of the regulatory-tort allocation for AI machines that will create a more comprehensive and complementary safety and compensatory model