Bringing Value to Healthcare

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Release : 2016-02-01
Genre : Business & Economics
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Book Rating : 150/5 ( reviews)

Bringing Value to Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bringing Value to Healthcare write by Rita E. Numerof. This book was released on 2016-02-01. Bringing Value to Healthcare available in PDF, EPUB and Kindle. In Bringing Value to Healthcare: Practical Steps for Getting to a Market-Based Model, Rita Numerof and Michael Abrams lay out the roadmap to a healthcare system that is accountable for delivering optimal patient outcomes at a sustainable cost. This is the handbook for payer, provider, pharmaceutical, and medical device executives seeking to preserve today‘s profitability while positioning their organizations for success in the very different markets of tomorrow. The book‘s guidance is illuminated by case studies and each chapter concludes with a self-assessment tool and key questions.

Redefining Health Care

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Release : 2006-04-24
Genre : Business & Economics
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Book Rating : 362/5 ( reviews)

Redefining Health Care - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Redefining Health Care write by Michael E. Porter. This book was released on 2006-04-24. Redefining Health Care available in PDF, EPUB and Kindle. The U.S. health care system is in crisis. At stake are the quality of care for millions of Americans and the financial well-being of individuals and employers squeezed by skyrocketing premiums—not to mention the stability of state and federal government budgets. In Redefining Health Care, internationally renowned strategy expert Michael Porter and innovation expert Elizabeth Teisberg reveal the underlying—and largely overlooked—causes of the problem, and provide a powerful prescription for change. The authors argue that competition currently takes place at the wrong level—among health plans, networks, and hospitals—rather than where it matters most, in the diagnosis, treatment, and prevention of specific health conditions. Participants in the system accumulate bargaining power and shift costs in a zero-sum competition, rather than creating value for patients. Based on an exhaustive study of the U.S. health care system, Redefining Health Care lays out a breakthrough framework for redefining the way competition in health care delivery takes place—and unleashing stunning improvements in quality and efficiency. With specific recommendations for hospitals, doctors, health plans, employers, and policy makers, this book shows how to move health care toward positive-sum competition that delivers lasting benefits for all.

Healthcare Growth Strategies

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Author :
Release : 1999
Genre :
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Book Rating : /5 ( reviews)

Healthcare Growth Strategies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Healthcare Growth Strategies write by Susan J. Anthony. This book was released on 1999. Healthcare Growth Strategies available in PDF, EPUB and Kindle.

Data to Value

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Release : 2021-08
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Book Rating : 713/5 ( reviews)

Data to Value - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data to Value write by K. H. Ken Lee. This book was released on 2021-08. Data to Value available in PDF, EPUB and Kindle. Our healthcare system is in serious trouble and it affects you, me, our families, and everyone else. Millions of individuals are suffering from poor quality care and unpayable medical debt. We have to do something now. If you work in the healthcare industry, this is a handbook to turn ideas into action and build a more impactful career. Otherwise, this book will open your eyes to the inner workings of the system.You can use this book to:?Understand key stakeholders and imperatives in high value care?Identify levers that can accelerate improvements in quality and cost management?Build a strong foundation in healthcare data and analytics techniques?Develop a holistic perspective and strategy for patient-centered care?Apply robust project management and leadership principlesMastering these concepts will supercharge your ability to challenge and improve the status quo. Together, we will transform the healthcare system from its core.

Demystifying Big Data and Machine Learning for Healthcare

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Release : 2017-02-15
Genre : Medical
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Book Rating : 304/5 ( reviews)

Demystifying Big Data and Machine Learning for Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Demystifying Big Data and Machine Learning for Healthcare write by Prashant Natarajan. This book was released on 2017-02-15. Demystifying Big Data and Machine Learning for Healthcare available in PDF, EPUB and Kindle. Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.