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Medical devices that are deemed to have a moderate risk to patients generally cannot go on the market until they are cleared through the FDA 510(k) process. In recent years, individuals and organizations have expressed concern that the 510(k) process is neither making safe and effective devices available to patients nor promoting innovation in the medical-device industry. Several high-profile mass-media reports and consumer-protection groups have profiled recognized or potential problems with medical devices cleared through the 510(k) clearance process. The medical-device industry and some patients have asserted that the process has become too burdensome and is delaying or stalling the entry of important new medical devices to the market. At the request of the FDA, the Institute of Medicine (IOM) examined the 510(k) process. Medical Devices and the Public's Health examines the current 510(k) clearance process and whether it optimally protects patients and promotes innovation in support of public health. It also identifies legislative, regulatory, or administrative changes that will achieve the goals of the 510(k) clearance process. Medical Devices and the Public's Health recommends that the U.S. Food and Drug Administration gather the information needed to develop a new regulatory framework to replace the 35-year-old 510(k) clearance process for medical devices. According to the report, the FDA's finite resources are best invested in developing an integrated premarket and postmarket regulatory framework.
As millions of Americans struggle to find work in the wake of the Great Recession, politicians from both parties look to regulation in search of an economic cure. Some claim that burdensome regulations undermine private sector competitiveness and job growth, while others argue that tough new regulations actually create jobs at the same time that they provide other benefits. Does Regulation Kill Jobs? reveals the complex reality of regulation that supports neither partisan view. Leading legal scholars, economists, political scientists, and policy analysts show that individual regulations can at times induce employment shifts across firms, sectors, and regions—but regulation overall is neither a prime job killer nor a key job creator. The challenge for policymakers is to look carefully at individual regulatory proposals to discern any job shifting they may cause and then to make regulatory decisions sensitive to anticipated employment effects. Drawing on their analyses, contributors recommend methods for obtaining better estimates of job impacts when evaluating regulatory costs and benefits. They also assess possible ways of reforming regulatory institutions and processes to take better account of employment effects in policy decision-making. Does Regulation Kills Jobs? tackles what has become a heated partisan issue with exactly the kind of careful analysis policymakers need in order to make better policy decisions, providing insights that will benefit both politicians and citizens who seek economic growth as well as the protection of public health and safety, financial security, environmental sustainability, and other civic goals. Contributors: Matthew D. Adler, Joseph E. Aldy, Christopher Carrigan, Cary Coglianese, E. Donald Elliott, Rolf Färe, Ann Ferris, Adam M. Finkel, Wayne B. Gray, Shawna Grosskopf, Michael A. Livermore, Brian F. Mannix, Jonathan S. Masur, Al McGartland, Richard Morgenstern, Carl A. Pasurka, Jr., William A. Pizer, Eric A. Posner, Lisa A. Robinson, Jason A. Schwartz, Ronald J. Shadbegian, Stuart Shapiro.
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
"Nurses play a vital role in improving the safety and quality of patient car -- not only in the hospital or ambulatory treatment facility, but also of community-based care and the care performed by family members. Nurses need know what proven techniques and interventions they can use to enhance patient outcomes. To address this need, the Agency for Healthcare Research and Quality (AHRQ), with additional funding from the Robert Wood Johnson Foundation, has prepared this comprehensive, 1,400-page, handbook for nurses on patient safety and quality -- Patient Safety and Quality: An Evidence-Based Handbook for Nurses. (AHRQ Publication No. 08-0043)." - online AHRQ blurb, http://www.ahrq.gov/qual/nurseshdbk/
This collection of essays emphasizes society’s increasingly responsible engagement with ethical challenges in emerging medical technology. Expansion of technological capacity and attention to patient safety have long been integral to improving healthcare delivery but only relatively recently have concepts like respect, distributive justice, privacy, and autonomy gained some power to shape the development, use, and refinement of medical tools and techniques. Medical ethics goes beyond making better medicine to thinking about how to make the field of medicine better. These essays showcase several ways in which modern ethical thinking is improving safety, efficacy and efficiency of medical technology, increasing access to medical care, and empowering patients to choose care that comports with their desires and beliefs. Included are complimentary ethical approaches as well as compelling counter-arguments. Together, the articles demonstrate how improving the quality of medical technology relies on every stakeholder -- not just medical researchers and scientists -- to assess each given technology’s strengths and pitfalls. This collection also portends one of the next major issues in the ethics of medical technology: developing the requisite moral framework to accompany shifts toward patient-centred personalized healthcare.
Recalls are an important tool to mitigate serious health consequences associated with defective or unsafe medical devices. Typically, a recall is voluntarily initiated by the firm that manufactured the device. The FDA oversees implementation of the recall. FDA classifies recalls based on health risks of using the recalled device. FDA also determines whether a firm has effectively implemented a recall, and when a recall can be terminated. This report identifies: (1) the numbers and characteristics of medical device recalls and FDA's use of this info. to aid its oversight; and (2) the extent to which the process ensures the effective implementation and termination of the highest-risk recalls. Charts and tables. A print on demand report.