The Healthcare Nonprofit: Keys to Effective Management, Stephen Gambescia
Автор: Gopee, Neil Galloway, Jo Название: Leadership and Management in Healthcare: Third Edition ISBN: 1473965020 ISBN-13(EAN): 9781473965027 Издательство: Sage Publications Рейтинг: Цена: 5542.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on the most up-to-date policies and professional regulations, and with an emphasis on the provision of person-centred care, the authors - both of whom have backgrounds in clinical practice, education and management - show how essential leadership and management skills can be applied across a range of situations in everyday practice.
Описание: This analytical volume looks at emerging fiscal trends and introduces the tools for effective financial management to American business professionals in the public, private, and nonprofit sectors.
Описание: Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.
Описание: This book presents information about the topic and tools a healthcare security professional can use to effectively reduce the potential for violence within their facility.
Innovation and Scaling for Impact forces us to reassess how social sector organizations create value. Drawing on a decade of research, Christian Seelos and Johanna Mair transcend widely held misconceptions, getting to the core of what a sound impact strategy entails in the nonprofit world. They reveal an overlooked nexus between investments that might not pan out (innovation) and expansion based on existing strengths (scaling). In the process, it becomes clear that managing this tension is a difficult balancing act that fundamentally defines an organization and its impact.
The authors examine innovation pathologies that can derail organizations by thwarting their efforts to juggle these imperatives. Then, through four rich case studies, they detail innovation archetypes that effectively sidestep these pathologies and blend innovation with scaling. Readers will come away with conceptual models to drive progress in the social sector and tools for defining the future of their organizations.
Описание: Features statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting–edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data–driven healthcare analytics in an effort to provide more personalized and efficient healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance care quality and operational efficiency. Organized into two main sections, Part One features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part Two focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: Contributions from well–known international experts who shed light on new approaches in this growing area Discussions on contemporary methods and techniques to address the handling of rich and large–scale healthcare data as well as the overall optimization of healthcare system operations Numerous real–world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry Plentiful applications that showcase the various analytical methods and tools that can be applied to successful predictive modeling The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate–level courses typically offered within operations research, industrial engineering, business, and public health departments. Hui Yang, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor–based modeling and analysis of complex systems for process monitoring/control; system diagnostics/prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self–organizing behaviors. Eva K. Lee, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large–scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.
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.
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.
Автор: Dey, Nilanjan Название: Big Data Analytics for Intelligent Healthcare Management ISBN: 012818146X ISBN-13(EAN): 9780128181461 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data.
Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more
Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc.
Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more
Автор: Phills Jr., James A. Название: Integrating Mission and Strategy for Nonprofit Organizations ISBN: 0195171284 ISBN-13(EAN): 9780195171280 Издательство: Oxford Academ Рейтинг: Цена: 5780.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Today's nonprofit organizations face an environment characterized by higher levels of competition for funding, clients and audiences, talent, and recognition. In addition, they confront greater pressures from donors, government, and the public to demonstrate efficiency, effectiveness, sustainability, and accountability, while intense social needs and problems, as well as the desire for growth, drive them to expand their programs and activities. Collectively, these challenges go to the heart of fundamental issues of mission and strategy. Integrating Mission and Strategy for Nonprofit Organizations applies and adapts the core body of general management knowledge about mission, strategy, and execution to help nonprofit leaders deal with the special challenges they face. It strives to draw on this knowledge in a way that does not dilute or oversimplify, and at the same time recognizes the unique features of the nonprofit or voluntary sector. James A. Phills develops an action-oriented framework that combines rigorous analysis with the practical challenge of execution and change. In addition to helping nonprofit leaders think through important decisions and make concrete choices, the book also provides a shared language and a discipline that can serve as the basis for more productive discussions between the individuals who lead nonprofits, the business executives who serve on their boards, and the philanthropists who support their organizations and programs. This last objective is critical, because too often nonprofit leaders and board members complain that they can't reap the benefits of the expertise of their supporters, funders, and volunteers from the business sector. Phills suggests that this is often the result of an inability to speak the same language and draw on a common understanding of key concepts, such as competition, strategy, and vision.
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