Healthcare technology management - a systematic approach, Hegarty, Francis Amoore, John Blackett, Paul Mccarthy, Justin Scott, Richard
Автор: Sukhmeet Panesar,Andrew Carson-Stevens,Sarah Salvi Название: Patient Safety and Healthcare Improvement at a Glance ISBN: 1118361369 ISBN-13(EAN): 9781118361368 Издательство: Wiley Рейтинг: Цена: 5061.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Patient Safety and Healthcare Improvement at a Glance is a timely and thorough overview of healthcare quality written specifically for students and junior doctors and healthcare professionals. It bridges the gap between the practical and the theoretical to ensure the safety and wellbeing of patients.
Описание: Stakeholder theory is based on developing trusting and productive relationships with stakeholders that lead to high levels of value creation, as indicated by stakeholder satisfaction, innovation, efficiency, and growth. This practical book includes state-of-the art thinking on stakeholder theory and strategic management.
Автор: Zachary Pruitt, Candance S. Smith, Eddie Perez-Rub Название: Healthcare Quality Management: A Case Study Approach ISBN: 0826145132 ISBN-13(EAN): 9780826145130 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 12613.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare Quality Management: A Case Study Approach is the first comprehensive case-based text combining essential quality management knowledge with real-world scenarios. With in-depth healthcare quality management case studies, tools, activities, and discussion questions, the text will help build the competencies needed to succeed in quality management. Written in an easy-to-read style, Part One of the textbook introduces students to fundamentals of quality management, including history, culture, and different quality management philosophies, such as Lean and Six Sigma. Part One additionally explains the A3 problem-solving template, used to follow the Plan Do Study Act (PDSA) or Define, Measure, Analyze, Improve and Control (DMAIC) cycles, that guide your completion of the problem-solving exercises found in Part Two. The bulk of the textbook includes realistic and engaging case studies featuring common quality management problems encountered in a variety of healthcare settings. The case studies feature engaging scenarios, descriptions, opinions, charts, and data, covering such contemporary topics as provider burnout, artificial intelligence, the opioid overdose epidemic, among many more. Serving as a powerful replacement to more theory-based quality management textbooks, Healthcare Quality Management provides context to challenging situations encountered by any healthcare manager, including the health administrator, nurse, physician, social worker, or allied health professional. KEY FEATURES: 25 Realistic Case Studies – Explore challenging Process Improvement, Patient Experience, Patient Safety, and Performance Improvement quality management scenarios set in various healthcare settings Diverse Author Team – Combines the expertise and knowledge of a health management educator, a Chief Nursing Officer at a large regional hospital, and a health system-based Certified Lean Expert Podcasts – Listen to quality management experts share stories and secrets on how to succeed, work in teams, and apply tools to solve problems Quality Management Tools – Grow your quality management skillset with 25 separate quality management tools and approaches tied to the realistic case studies Competency-based Education Support – Match case studies to professional competencies, such as analytical skills, community collaboration, and interpersonal relations, using case-to-competency crosswalks for health administration, nursing, medicine, and the interprofessional team eBook Access – Included with the print purchase so you can continue your studies on the go on mobile devices and computers Comprehensive Instructor's Packet – Includes PPTs, extensive Excel data sets, an Instructor's Manual with completed A3 problem-solving solutions for each Case Application Exercise, and more!
Описание: This book offers a new, practical approach to healthcare reform. Departing from the priorities applied in traditional approaches, it instead assesses – both theoretically and practically – the successful lessons learned in other safety-critical industries, and applies them to healthcare settings. The authors focus on the importance of human factors and performance measures to establish proactive, systematic methods for healthcare system design. This approach helps to identify potential hazards before accidents occur, enhancing patient safety. In addition, the book details the new approach on the basis of real-world applications in the NHS and insights from NHS staff. Case studies and results are presented, demonstrating the significant improvements that can be achieved in risk reduction and safety culture. Lastly, the book outlines what steps healthcare organisations need to take in order to successfully adopt this new approach. The approach and experiential learning is brought together through the development of a new holistic patient safety education syllabus.
Автор: Bohr, Adam Название: Artificial Intelligence In Healthcare ISBN: 0128184388 ISBN-13(EAN): 9780128184387 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.
This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.
Автор: Lawry, Tom Название: Artificial intelligence in healthcare ISBN: 0367333716 ISBN-13(EAN): 9780367333713 Издательство: Taylor&Francis Рейтинг: Цена: 6123.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written for clinical and business leaders in health, this book defines Artificial Intelligence and its role in driving digital transformation to improve clinical, operational and financial outcomes of provider, payer and public health organizations worldwide.
Описание: Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter.
Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to revolutionize the way we look at healthcare. But if we want them to achieve their full potential, we'll need leaders who understand these new tools and who have long-term strategies in place to take advantage of them.
This book will help you to become one of those leaders. Predictive Medicine makes artificial intelligence more accessible for healthcare practitioners without shying away from complex topics and controversial subject matter. It's a call-to-action for a new generation of health leaders and a roadmap to help them usher in a brighter future.
Описание: Theologies on the Move examines how the experiences of migration and pilgrimage that are created as a result of the pressures of neoliberal capitalism shape theological and religious traditions. Based on these insights, the contributors examine what difference religion can make in a world dominated by the interests of the few rather than the many.
Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg Название: Advancement of Artificial Intelligence in Healthcare Engineering ISBN: 179982120X ISBN-13(EAN): 9781799821205 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 39640.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.
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: Reddy Chandan K. Название: Healthcare Data Analytics ISBN: 1482232111 ISBN-13(EAN): 9781482232110 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.
The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients. Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:
Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data
Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics
Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support
Computer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.
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