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Economics for Healthcare Managers, Robert Lee


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Цена: 97020.00T
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Автор: Robert Lee
Название:  Economics for Healthcare Managers
ISBN: 9781640550483
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1640550488
Обложка/Формат: Hardcover
Страницы: 342
Вес: 0.80 кг.
Дата издания: 28.02.2019
Серия: Economics/Business/Finance
Язык: English
Размер: 254 x 177 x 8
Читательская аудитория: Professional and scholarly
Ключевые слова: Health systems & services,Medical administration & management,Health economics, MEDICAL / Hospital Administration & Care
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Поставляется из: Англии
Описание: Instructor Resources: Test bank, PowerPoint slides and a lesson plan for each chapter, answers to the study questions, guides to the case studies, and a transition guide to the new edition. Good management requires a fundamental understanding of economics. In the rapidly changing healthcare landscape, economics can provide a road map for managers looking to effectively navigate strategic, goal-oriented decisions while also improving population health outcomes. Economics for Healthcare Managers provides the practical guide that healthcare managers need to simplify and strengthen the decision-making process for everyday issues. Written for those with little or no background in economics, the book is designed to engage readers in todays policy and management challenges. The author references classic studies while also drawing on current research and emphasizing contemporary analyses. As the purview of healthcare managers has expanded significantly, this edition has been updated to reflect their evolving role. Featuring 17 new case studies, the book incorporates recent changes in health policy and research, including new and revised content on: Realizing the Triple Aim Profits, market structure, and market power Regulations of the Affordable Care Act Health insurance and the move toward value-based payments The healthcare financing system and alternative payment mechanisms The book and its companion materials combine multiple cases, class activities, and special features to engage students and facilitate active learning. These resources give students in the classroom the opportunity to tackle the kinds of challenging economic issues they can expect to face during their careers as healthcare managers.

Information Technology for Healthcare Managers, Ninth Edition

Автор: Glandon Gerald L., Slovensky Donna J., Smaltz Detlev H.
Название: Information Technology for Healthcare Managers, Ninth Edition
ISBN: 1640551913 ISBN-13(EAN): 9781640551916
Издательство: Mare Nostrum (Eurospan)
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Цена: 113650.00 T
Наличие на складе: Нет в наличии.
Описание: Though healthcare is largely technology driven, the deployment of health information technology (HIT) has occurred in waves rather than a steady flow, and usually in response to government mandates. This emergent HIT strategy has culminated in highly complex and dynamic systems crafted over many years using products from multiple vendors. Healthcare organizations are now focused on big data aggregated from myriad data-producing applications both in and beyond the enterprise. Healthcare leaders must position themselves to leverage the new opportunities that arise from HIT's ascendance and to mine the vast amount of available data for competitive advantage.Where can they turn for insight? With the unique advantage of both academic and real-world experience in HIT leadership, the authors of Information Technology for Healthcare Managers blend management theory, cutting-edge tech knowledge, and a thorough grounding in the healthcare applications of technology. The ninth edition offers the following: Rigorously updated content that reflects this rapidly changing field, including discussions of the Internet of Things, artificial intelligence, blockchain, cybersecurity, and cloud computing; An entirely new chapter on data analytics for leaders who want to harness the power of data for decision support, evidence-based management, and other strategic uses; A review of the core HIT elements of healthcare delivery; Guidance on management issues specific to healthcare organizations, including regulation, HIT and data governance, infrastructure, the selection of applications, contract negotiating, and portfolio management; Management and systems theory, applied to the challenges of HITOpinions abound on technology's best uses for society, but healthcare organizations need more than opinion-they need knowledge and strategy. This book will help leaders combine tech savvy with business savvy for sustainable success in a dynamic environment.

Predictive Medicine: Artificial Intelligence and Its Impact on Healthcare Business Strategy

Автор: Fombu Emmanuel
Название: Predictive Medicine: Artificial Intelligence and Its Impact on Healthcare Business Strategy
ISBN: 1951527046 ISBN-13(EAN): 9781951527044
Издательство: Mare Nostrum (Eurospan)
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Цена: 29250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


Artificial intelligence in healthcare

Автор: Lawry, Tom
Название: Artificial intelligence in healthcare
ISBN: 0367333716 ISBN-13(EAN): 9780367333713
Издательство: Taylor&Francis
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Цена: 40820.00 T
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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.

Advancement of Artificial Intelligence in Healthcare Engineering

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)
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Цена: 264270.00 T
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.

Transforming Healthcare with Big Data and AI

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)
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Цена: 47130.00 T
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.

Patient Safety and Healthcare Improvement at a Glance

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
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Цена: 33740.00 T
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.

Healthcare Data Analytics

Автор: Reddy Chandan K.
Название: Healthcare Data Analytics
ISBN: 1482232111 ISBN-13(EAN): 9781482232110
Издательство: Taylor&Francis
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Цена: 127600.00 T
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.


Handbook of Healthcare Analytics

Автор: Tinglong Dai; Sridhar Tayur
Название: Handbook of Healthcare Analytics
ISBN: 1119300940 ISBN-13(EAN): 9781119300946
Издательство: Wiley
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Цена: 118220.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century?

Editors Tinglong Dai (Johns Hopkins) and Sridhar Tayur (Carnegie Mellon), aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing cross-disciplinary field. The Handbook covers macro-, meso- and micro-level thrusts, spanning organizational structure, market design, access to (and quality of) care, competing interests, personalized medicine, global health, organ transplantation, healthcare supply chains, ambulatory care, inpatient care, residential care and concierge medicine. No other book in the field matches its scope. It is also the first book to synthesize what has been a highly fragmented research area--an uncoordinated accumulation of papers--and to structure it into a coherent scientific discipline. As Poincare remarked, an accumulation of facts is no more a science than a heap of stones is a house.

The handbook also provides an easy-to-comprehend introduction to five essential research tools--Markov decision process, game theory and information economics, queueing theory (with and without game theory), econometric methods, and data sciences (including machine learning)--by illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts.

The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook:

  • Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspective--a shift in gaze away from narrow, local and one-off operational improvement efforts that do not replicate, scale or remain sustainable--can lead to new knowledge and innovative solutions that healthcare has been seeking so desperately.
  • Facilitates collaboration between healthcare experts and analytics scholars--to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose--ranging from queuing models imbedded with game theory ("queuing games") to game theory methods enhanced by operational considerations ("market design"), from tailored econometric methods to current day data-science methods that include algorithms from machine learning.


While the handbook is designed to be accessible to the independent reader, it may be used in a variety of settings, from a short lecture series on specific topics to a semester-long course covering the entire field.


Information governance for healthcare professionals

Автор: F. Smallwood, Robert
Название: Information governance for healthcare professionals
ISBN: 1138568066 ISBN-13(EAN): 9781138568068
Издательство: Taylor&Francis
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Цена: 70430.00 T
Наличие на складе: Нет в наличии.
Описание: Like other critical organizational assets, information is a strategic asset that requires high level of oversight in order to be able to effectively use it for organizational decision-making, performance improvement, cost management, and risk mitigation. Adopting an information governance program shows a healthcare organization’s commitment to managing its information as a valued strategic asset. Information governance serves the dual purpose of optimizing the ability to extract clinical and business value from healthcare information while meeting compliance needs and mitigating risk. Healthcare organizations that have information governance programs will have a competitive edge over others and contributes to safety and quality of care, population health, operational efficiency and effectiveness, and cost reduction initiatives. This is a much-needed book in the healthcare market space. It will explain, in clear terms, how to develop, launch, and oversee an Information Governance program. It also provides advice and insights from leading IG, cybersecurity and information privacy professionals in healthcare.

Big Data Analytics for Intelligent Healthcare Management

Автор: Dey, Nilanjan
Название: Big Data Analytics for Intelligent Healthcare Management
ISBN: 012818146X ISBN-13(EAN): 9780128181461
Издательство: Elsevier Science
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Цена: 132500.00 T
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

Voice Technology in Healthcare

Автор: Metcalf, David , Fisher, Teri , Pruthi, Sandhya
Название: Voice Technology in Healthcare
ISBN: 0367403862 ISBN-13(EAN): 9780367403867
Издательство: Taylor&Francis
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Цена: 60220.00 T
Наличие на складе: Невозможна поставка.
Описание: In this book, the editors review information from the top though-leaders in this space and examine real-world case studies of the outcomes and potential of voice technology in healthcare.

Healthcare Digital Transformation

Автор: Marx, Edward , Padmanabhan, Paddy
Название: Healthcare Digital Transformation
ISBN: 0367476576 ISBN-13(EAN): 9780367476571
Издательство: Taylor&Francis
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Цена: 33670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a reference guide for healthcare executives and technology providers involved in the ongoing digital transformation of the healthcare sector.


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