Описание: Recent trends in health care across the United States and internationally have emphasized a novel approach that consists in comparing the effectiveness and efficacy of treatment interventions with a patient-centered emphasis (i.e., evidence-based health care), while ensuring cost constraints, maximizing benefits, and minimizing risks. In this book, experts in comparative effectiveness and efficacy research and analysis for practice (CEERAP) in health care in general address a range of topical issues. The emphasis is on implications for endodontics and nursing, both of which are considered in a series of detailed chapters. Commonalities and differences among CEERAP, utility-based and logic-based analysis and decision-making, and evidence-based and patient-centered practice are defined and discussed. The book concludes by examining applications for CEERAP in developing patient-centered optimal treatment interventions for the next decade.
Описание: It has been almost 20 years since the Institute of Medicine released the seminal report titled, Crossing the Quality Chasm. In it, the IoM identified six domains of care quality (safe, timely, effective, efficient, equitable, and patient-centric) and noted a huge gap between the current state and the desired state.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Автор: Solid Craig A. Название: Return on Investment for Healthcare Quality Improvement ISBN: 3030464776 ISBN-13(EAN): 9783030464776 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Introduction1.1 The Current Healthcare Environment1.1.1 Funding Requirements for Those Looking to Improve Care Quality1.2 Concepts of Value in Quality Improvement1.2.1 A Discussion of "Value" in Health Care1.2.2 The Journey of Understanding Value in Relation to that of Quality1.3 Quality Improvement as an Exercise in Influence1.4 Return on Investment1.4.1 How ROI is Used in Other Industries1.4.2 How We Will Define ROI1.4.3 Unique Challenges for Examining ROI in the Healthcare Setting1.4.4 Differences in Prospective Versus Retrospective Analyses of ROI1.5 Who this Book Is For1.6 Chapter Summary1.7 Key ConceptsReferences Chapter 2: Planning an ROI Analysis2.1 The Motivation to Assess Value in Health Care2.2 The Critical Aspects of Quality Improvement2.2.1 Defining Quality2.2.2 Measuring Quality2.2.3 Assessing and Evaluating Quality2.3 Measuring Value2.3.1 Considering What Can Be Improved, Measured, and Monetized2.3.2 Planning the Value Assessment in Tandem with the Quality Assessment2.4 Definitions and Terms2.4.1 ROI2.4.2 Benefit-to-Cost Ratio (Benefits per Dollar Spent) 2.4.3 Savings per Patient2.4.4 Payback Period2.4.5 Other Metrics2.5 Basic ROI Design2.5.1 Scope and Perspective2.5.2 Costs and Benefits2.5.3 Base Case and Sensitivity Analyses2.5.4 Interpretation2.6 Hypothetical Case Studies2.6.1 Example 1: Nursing Home Falls2.6.2 Example 2: Improved Hospital Discharge Process2.6.3 Example 3: Introducing a Collaborative Care Model2.6.4 Example 4: Investing in Facility Improvements2.7 Chapter Summary2.8 Key ConceptsReferences Chapter 3: Initial Steps3.1 Define Scope and Perspective3.1.1 Perspective3.1.2 Scope3.1.3 Practical Examples of Defining the Scope and Perspective3.1.4 Major Assumptions and Their Implications3.2 Determine What to Measure3.2.1 Process Versus Outcome Measures3.2.2 Individual Versus Composite Measures3.2.3 One Versus Many Measures3.2.4 The Impact of Project Characteristics on Measures3.3 How to Select Quality Improvement Opportunities for Value3.3.1 Questions to Ask3.4 How to Estimate the Expected Effectiveness and Associated Value3.4.1 Pulling from Your Own Experience3.4.2 Pulling from Published Literature3.5 Secure Buy-In and Recruit Partners3.6 Chapter Summary3.7 Key Concepts Chapter 4: Costs and Benefits4.1 The Impact of Scope and Perspective on Costs and Benefits4.2 Costs4.2.1 Identifying Cost Sources4.2.2 Estimating and Monetizing Costs4.2.3 Aggregating Costs4.3 Benefits4.3.1 Measurable, Monetizable, and Directly Attributable Benefits4.3.2 Estimating MMA Benefits4.3.3 Estimating Non-MMA Benefits4.3.4 Calculating Benefits (Formulas) 4.4 Discounting4.5 Chapter Summary4.6 Key ConceptsReferences Chapter 5: Performing Base Case and Sensitivity Analyses5.1 Prospective versus Retrospective ROI Analyses5.2 Developing the Base Case Scenario5.2.1 General Considerations for the Base Case5.2.2 Identifying Usable Estimates5.2.3 Applying the Perspective and Scope to the Base Case5.2.4 A Base Case Example5.3 Sensitivity Analysis5.3.1 General Consideratio
Автор: Bercaw, Ronald G. Название: Taking improvement from the assembly line to healthcare ISBN: 036747154X ISBN-13(EAN): 9780367471545 Издательство: Taylor&Francis Рейтинг: Цена: 5970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quality healthcare is a cornerstone of any healthy society. In the U.S., we have access to sophisticated medical technology, world renowned physicians, highly trained nurses and hospital personnel, advanced pharmaceuticals, and innovations in diagnosis and treatment.
Описание: Telemedicine, which involves electronic communications and software, provides the same clinical services to patients without the requirement of an in-person visit. Essentially, this is considered remote healthcare. Though telemedicine is not a new practice, it has become an increasingly popular form of healthcare delivery due to current events, including the COVID-19 pandemic. Not only are visits being moved onto virtual platforms, but additional materials and correspondence can remain in the digital sphere. Virtual lab results, digital imaging, medical diagnosis, and video consultations are just a few examples that encompass how telemedicine can be used for increased accessibility in healthcare delivery. With telemedicine being used in both the diagnosis and treatment of patients, technology in healthcare can be implemented at almost any phase of the patient experience. As healthcare delivery follows the digital shift, it is important to understand the technologies, benefits and challenges, and overall impacts of the remote healthcare experience. The Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery presents the latest research on best practices for adopting telehealth into medical practices and its efficacy and solutions for the improvement of telemedicine, as well as addresses emerging challenges and opportunities, including issues such as securing patient data and providing healthcare accessibility to rural populations. Covering important themes that include doctor-patient relationships, tele-wound monitoring, and telemedicine regulations, this book is essential for healthcare professionals, doctors, medical students, academic and medical libraries, medical technologists, practitioners, stakeholders, researchers, academicians, and students interested in the emerging technological developments and solutions within the field of telemedicine.
Автор: Ton J. Cleophas; Aeilko H. Zwinderman Название: Efficacy Analysis in Clinical Trials an Update ISBN: 3030199177 ISBN-13(EAN): 9783030199173 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Поставка под заказ.
Описание: Machine learning and big data is hot. It is, however, virtually unused in clinical trials. This is so, because randomization is applied to even out multiple variablesModern medical computer files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are requiredThis is the first publication of clinical trials that have been systematically analyzed with machine learning. In addition, all of the machine learning analyses were tested against traditional analyses. Step by step statistics for self-assessments are includedThe authors conclude, that machine learning is often more informative, and provides better sensitivities of testing than traditional analytic methods do
Автор: Reed Steven B. Название: Becoming a Healthcare Leader ISBN: 1516529006 ISBN-13(EAN): 9781516529001 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 15920.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Becoming a Healthcare Leader introduces readers to theories, philosophies, strategies, methods, techniques, and lessons that have proven effective when applied to the field of healthcare management. The book shares insights from experienced hospital and healthcare leaders and prepares students for success in entry-level administrative positions and beyond.The material explores the important role leadership plays in an industry in transition, as well as what is needed to become an effective healthcare leader. In addition, it addresses specific leadership skills such as creating a culture of collaboration, fostering accountability, and putting motivational theories into practice. Students also learn about creating a strategic vision, developing a business planning cycle, marketing health service delivery, making business presentations, and dealing with the media.Becoming a Healthcare Leader is a practical tool for teaching and learning about becoming an effective healthcare leader at any level or position. It can be used in general healthcare management and leadership classes by those focused on becoming an effective healthcare leader, as well as by those already practicing leadership in a health service organization. Featuring newly added discussion questions, the book is equally effective for in-class, online, and hybrid courses.
Автор: Alex Lui, Anna Farzinder, Mingboo Gong Название: Transforming Healthcare with Big Data and AI ISBN: 1641138971 ISBN-13(EAN): 9781641138970 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Автор: Tim Swanwick, Emma Vaux Название: ABC of Quality Improvement in Healthcare ISBN: 1119565324 ISBN-13(EAN): 9781119565321 Издательство: Wiley Рейтинг: Цена: 4744.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Quality improvement (QI) is embedded in the fabric of successful healthcare organisations across the world, with healthcare professionals increasingly expected to develop and lead improvement as a core part of their clinical responsibilities. As a result, QI is rapidly becoming a feature of the education and training programmes of all healthcare professionals.
Written and edited by some of the leading clinicians and managers in the field, ABC of Quality Improvement is designed for clinicians new to the discipline, as well as experienced leaders of change and improvement. Providing comprehensive coverage and clear, succinct descriptions of the major tools, techniques and approaches, this new addition to the ABC series demystifies quality improvement and develops a broader understanding of what constitutes quality in healthcare. With practical examples of improvement interventions and the common pitfalls that can befall them, this book will support and enable readers to manage change projects within their own organisations.
Relevant to doctors, dentists, nurses, health service managers and support staff, medical students and doctors in training, their tutors and trainers, and other healthcare professionals at various levels, ABC of Quality Improvement will give readers the confidence to embark on their own improvement projects, whoever, and wherever they may be.
Автор: Aoife M. McDermott; Martin Kitchener; Mark Exworth Название: Managing Improvement in Healthcare ISBN: 331962234X ISBN-13(EAN): 9783319622347 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reflecting the challenges and opportunities of achieving improvement in healthcare systems, the contributions of this innovative new text lend depth and nuance to an increasing area of academic debate.
Автор: Ritika Wason, Dinesh Goyal, Vishal Jain, S. Balamu Название: Applications of Deep Learning and Big IoT on Personalized Healthcare Services ISBN: 1799821013 ISBN-13(EAN): 9781799821014 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 37006.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes.
Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.
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