The Joint Commission Big Book Of More Tracer Questions

"Tracer methodology is a key part of The Joint Commission's on-site accreditation and certification survey process. So what's the best way for health care professionals to learn about tracers? PRACTICE. The Joint Commission Big Book of More Tracer Questions helps you do just that. A companion to the best-selling Joint Commission Big Book of Tracer Questions, this book follows up with more than 2,000 MORE questions to choose from to use during your mock tracers. Customers asked for new questions related to the most challenging Joint Commission standards, as well as questions on topics not covered in the original book, such as medication compounding and disease-specific care. We delivered on that request with The Joint Commission Big Book of More Tracer Questions. Buy this follow-up title and continue to build your mock tracer question library. The book features a mock tracer template that integrates the concepts of the Survey Analysis for Evaluating Risk (SAFER) Matrix. This allows you to more accurately capture and respond to the scope of noncompliance and likelihood to harm in a way that simulates an actual survey"--Publisher's description.

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

This book addresses the processes related to mine abandonment from a hydrogeological perspective and provides a comprehensive presentation of water management and innovative tracer techniques for flooded mines. After an introduction to the relevant hydrogeochemical processes the book gives detailed information about mine closure procedures. The book also includes case studies and hints, and some new methodologies for conducting tracer tests in flooded mines.

What science has gotten so shamefully wrong about women, and the fight, by both female and male scientists, to rewrite what we thought we knew For hundreds of years it was common sense: women were the inferior sex. Their bodies were weaker, their minds feebler, their role subservient. No less a scientist than Charles Darwin asserted that women were at a lower stage of evolution, and for decades, scientists—most of them male, of course—claimed to find evidence to support this. Whether looking at intelligence or emotion, cognition or behavior, science has continued to tell us that men and women are fundamentally different. Biologists claim that women are better suited to raising families or are, more gently, uniquely empathetic. Men, on the other hand, continue to be described as excelling at tasks that require logic, spatial reasoning, and motor skills. But a huge wave of research is now revealing an alternative version of what we thought we knew. The new woman revealed by this scientific data is as strong, strategic, and smart as anyone else. In Inferior, acclaimed science writer Angela Saini weaves together a fascinating—and sorely necessary—new science of women. As Saini takes readers on a journey to uncover science’s failure to understand women, she finds that we’re still living with the legacy of an establishment that’s just beginning to recover from centuries of entrenched exclusion and prejudice. Sexist assumptions are stubbornly persistent: even in recent years, researchers have insisted that women are choosy and monogamous while men are naturally promiscuous, or that the way men’s and women’s brains are wired confirms long-discredited gender stereotypes. As Saini reveals, however, groundbreaking research is finally rediscovering women’s bodies and minds. Inferior investigates the gender wars in biology, psychology, and anthropology, and delves into cutting-edge scientific studies to uncover a fascinating new portrait of women’s brains, bodies, and role in human evolution.

As nations race to hone contact-tracing efforts, the world's experts consider strategies for maximum transparency and impact. As public health professionals around the world work tirelessly to respond to the COVID-19 pandemic, it is clear that traditional methods of contact tracing need to be augmented in order to help address a public health crisis of unprecedented scope. Innovators worldwide are racing to develop and implement novel public-facing technology solutions, including digital contact tracing technology. These technological products may aid public health surveillance and containment strategies for this pandemic and become part of the larger toolbox for future infectious outbreak prevention and control. As technology evolves in an effort to meet our current moment, Johns Hopkins Project on Ethics and Governance of Digital Contact Tracing Technologies—a rapid research and expert consensus group effort led by Dr. Jeffrey P. Kahn of the Johns Hopkins Berman Institute of Bioethics in collaboration with the university's Center for Health Security—carried out an in-depth analysis of the technology and the issues it raises. Drawing on this analysis, they produced a report that includes detailed recommendations for technology companies, policymakers, institutions, employers, and the public. The project brings together perspectives from bioethics, health security, public health, technology development, engineering, public policy, and law to wrestle with the complex interactions of the many facets of the technology and its applications. This team of experts from Johns Hopkins University and other world-renowned institutions has crafted clear and detailed guidelines to help manage the creation, implementation, and application of digital contact tracing. Digital Contact Tracing for Pandemic Response is the essential resource for this fast-moving crisis. Contributors: Joseph Ali, JD; Anne Barnhill, PhD; Anita Cicero, JD; Katelyn Esmonde, PhD; Amelia Hood, MA; Brian Hutler, Phd, JD; Jeffrey P. Kahn, PhD, MPH; Alan Regenberg, MBE; Crystal Watson, DrPH, MPH; Matthew Watson; Robert Califf, MD, MACC; Ruth Faden, PhD, MPH; Divya Hosangadi, MSPH; Nancy Kass, ScD; Alain Labrique, PhD, MHS, MS; Deven McGraw, JD, MPH, LLM; Michelle Mello, JD, PhD; Michael Parker, BEd (Hons), MA, PhD; Stephen Ruckman, JD, MSc, MAR; Lainie Rutkow, JD, MPH, PhD; Josh Sharfstein, MD; Jeremy Sugarman, MD, MPH, MA; Eric Toner, MD; Mar Trotochaud, MSPH; Effy Vayena, PhD; Tal Zarsky, JSD, LLM, LLB

Leading, composite and sentiment indicators offer a powerful way of communication of statistical information and reaching out to users of statistics. The indicators can provide relevant and timely information on aspects of the economy and the social society that are not covered by other statistics. They can also provide information on complex phenomena in simple and condensed form, for instance on the current or expected economic development or on the well-being or sense of happiness of the citizens. These Guidelines provide guidance to statistical offices on their possible roles in developing and producing leading, composite and sentiment indicators and give practical and operational guidance to statistical offices that produce or consider producing these indicators. Existing examples of good practice are also referenced.