This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
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.
This report defines database design and implementation technology as applicable to healthcare. The relationship of technology to various healthcare settings is explored, and the effectiveness on healthcare costs, quality and access is evaluated. A summary of relevant development directions is included. Detailed examples of 5 typical applications (public health, clinical trials, clinical research, ambulatory care, and hospitals) are appended. There is an extended bibliography. (Author).
Bernadette Mazurek Melnyk and Ellen Fineout-Overholt are creators of the ARCC (Advancing Research and Clinical practice through close Collaboration) Model, an innovative strategy for implementing and sustaining evidence-based practice in healthcare systems. The ARCC Model is cited as an exemplar of education in evidence-based practice in the Board on Health Care Services and the Institute of Medicine's book, Health Professions Education: A Bridge to Quality. "McInyk and Fineout-Overholt's book should be required reading in all graduate programs. Their text has provided a blueprint for the future of nursing practice and a rigorously substantiated and clearly described means for clinicians, educators, and administrators to participate in improving quality of care." Janet D. Allan, PhD, RN, FAAN Dean and Professor University of Maryland School of Nursing "Evidence-based Practice in Nursing & Healthcare: A Guide to Best Practice has been instrumental in developing a culture of evidence-based practice at Barnes-Jewish Hospital. It is fundamental to our curriculum provided to all levels of staff, from new graduate nurses to the highest levels of hospital leadership." Dr. Patricia Potter, RN, PhD, FAAN, Dr. Gail Rea, RN, PhD, CNE, Dr. Karen Balakas, RN, PhD, CNE, Jennifer Williams, MSN, RN, ACNS-BC, Elizabeth Pratt, MSN, RN, ACNS-BC Evidence Equals Excellence group at Barnes-Jewish Hospital and Barnes-Jewish School of Nursing at Goldfarb Evidence-based Practice in Nursing & Healthcare: A Guide to Best Practice is an exemplary text that spans the continuum of nursing evidence to support best practice. Utilizing this text with undergraduate, RN to BSN, and graduate nursing students, it is the ONLY text that demonstrates how to retrieve, read, and analyze evidence whether it is published as an individual study, systematic review, meta-analysis, best practice guideline, or outcomes management report. Students learn how to utilize multiple complex databases and websites as they move through each chapter. And, they experience dissemination of evidence through the development of presentations, publications, posters, and grants. This is truly a remarkable book that embraces evidence as the basis for nursing practice and patient-centered care and safety. Having used this text with more than 1000 students over the past five years, I can honestly say that I have found no other text that facilitates learning and development of clinical judgment that is grounded in valid, reliable, and applicable evidence. This is a keeper! Alice E. Dupler, JD, APRN-BC Clinical Associate Professor Washington State University College of Nursing "I have used the book since I developed the Evidence-based Practice course for our College of Nursing in Fall 2007. It was the first course of its kind at Indiana State University. It has been well received and the preferred course for all nursing graduate students for completion of their final scholarly projects. The text was essential in developing the course and provides the foundation and guidance that the students need to develop their Evidence Based Practice projects...the students love the text!" Susan Eley PhD, RN, FNP-BC Assistant Professor Director FNP Program Indiana State University
An introductory computer literacy text for nurses and other healthcare students, Introduction to Computers for Healthcare Professionals explains hardware, popular software programs, operating systems, and computer assisted communication. The Fifth Edition of this best-selling text has been revised and now includes content on on online storage, communication and online learning including info on PDA's, iPhones, IM, and other media formats, and another chapter on distance learning including video conferencing and streaming video.
As the biomedical engineering field expands throughout the world, clinical engineers play an ever more important role as the translator between the worlds of the medical, engineering, and business professionals. They influence procedure and policy at research facilities, universities and private and government agencies including the Food and Drug Administration and the World Health Organization. Clinical engineers were key players in calming the hysteria over electrical safety in the 1970s and Y2K at the turn of the century and continue to work for medical safety. This title brings together all the important aspects of Clinical Engineering. It provides the reader with prospects for the future of clinical engineering as well as guidelines and standards for best practice around the world.
Chapter 1 offers an overview of the basic computer technology. Each succeeding chapter, describes the problems in medicine, followed by a review in chronological sequence of why and how computers were applied to try to meet these problems. Only the technical aspects of computer hardware, software, and communications are discussed as they are necessary to explain how the technology was applied. This approach generally led to defining the objectives for applications of medical informatics. At the end of each chapter, the author summarizes his personal views and interpretations of the chapter contents. Although the concurrent evolution of medical informatics in Canada, Europe, and Japan certainly influenced workers in the United States, the scope of this historical review is limited to the development of medical informatics within the United States. Furthermore, this review is limited to electronic digital computers; it excludes mechanical, analog, and hybrid computers.
Database Management Using AI: A Comprehensive Guide is a professional yet accessible exploration of how artificial intelligence (AI) is reshaping the world of database management. Designed for database administrators, data scientists, and tech enthusiasts, this book walks readers through the transformative impact of AI on modern data systems. The guide begins with the fundamentals of database management, covering key concepts such as data models, SQL, and the principles of database design. From there, it delves into the powerful role AI plays in optimizing database performance, enhancing security, and automating complex tasks like data retrieval, query optimization, and schema design. The book doesn't stop at theory. It brings AI to life with practical case studies showing how AI-driven database systems are being used in industries such as e-commerce, healthcare, finance, and logistics. These real-world examples demonstrate AI's role in improving efficiency, reducing errors, and driving intelligent decision-making. Key topics covered include: Introduction to Database Systems: Fundamentals of database management, from relational databases to modern NoSQL systems. AI Integration: How AI enhances database performance, automates routine tasks, and strengthens security. Real-World Applications: Case studies from diverse sectors like healthcare, finance, and retail, showcasing the practical impact of AI in database management. Predictive Analytics and Data Mining: How AI tools leverage data to make accurate predictions and uncover trends. Future Trends: Explore cutting-edge innovations like autonomous databases and cloud-based AI solutions that are shaping the future of data management. With its clear explanations and actionable insights, Database Management Using AI equips readers with the knowledge to navigate the fast-evolving landscape of AI-powered databases, making it a must-have resource for those looking to stay ahead in the digital age.
Introduction to Computers for Health Care Professionals, Seventh Edition is a contemporary computer literacy text geared toward nurses and other healthcare students.
