Bringing Value To Healthcare Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Bringing Value To Healthcare book. This book definitely worth reading, it is an incredibly well-written.
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.
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.
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.
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.
Salespeople and commercial leaders face a significant challenge and big opportunity. Purchasing in healthcare is undergoing a fundamental shift. Buying decisions, once driven by individual clinicians, are increasingly being made by data-driven committees, cost-driven administrators, and sophisticated buyers. The hospital supply chain and purchasing organization is growing into a powerful force, and is deploying sourcing tactics to gain unprecedented discounts and bring clearer transparency to value. Selling in this new healthcare market in the same old way is a recipe for price erosion, declining margins, frustrated salespeople, and dissatisfied customers. Based on extensive experience and research, this is a practical guide that provides salespeople and commercial teams with the insights to approach economic buyers with renewed confidence. It provides proven strategies and tools to educate customers, sell your value, and defend your value against tough buyers. This book will prove to be an invaluable source of ideas, strategies and tools for healthcare sales professionals, marketing teams, and executives responsible for leading winning commercial organizations.
How can a smartwatch help patients with diabetes manage their disease? Why can’t patients find out prices for surgeries and other procedures before they happen? How can researchers speed up the decade-long process of drug development? How will "Precision Medicine" impact patient care outside of cancer? What can doctors, hospitals, and health systems do to ensure they are maximizing high-value care? How can healthcare entrepreneurs find success in this data-driven market? A revolution is transforming the $10 trillion healthcare landscape, promising greater transparency, improved efficiency, and new ways of delivering care. This new landscape presents tremendous opportunity for those who are ready to embrace the data-driven reality. Having the right data and knowing how to use it will be the key to success in the healthcare market in the future. We are already starting to see the impacts in drug development, precision medicine, and how patients with rare diseases are diagnosed and treated. Startups are launched every week to fill an unmet need and address the current problems in the healthcare system. Digital devices and artificial intelligence are helping doctors do their jobs faster and with more accuracy. MoneyBall Medicine: Thriving in the New Data-Driven Healthcare Market, which includes interviews with dozens of healthcare leaders, describes the business challenges and opportunities arising for those working in one of the most vibrant sectors of the world’s economy. Doctors, hospital administrators, health information technology directors, and entrepreneurs need to adapt to the changes effecting healthcare today in order to succeed in the new, cost-conscious and value-based environment of the future. The authors map out many of the changes taking place, describe how they are impacting everyone from patients to researchers to insurers, and outline some predictions for the healthcare industry in the years to come.
This book will provide a market-based approach to addressing the 'ills' of the current healthcare system. To provide context, it will briefly highlight and put in perspective the historical events that led to the current challenges. Divided by major industry sectors, the authors provide a clear vision of a viable, market-based healthcare system that produces better health outcomes at lower costs and recommendations to realize that vision. Each chapter ends with an assessment tool and a checklist of key questions leadership needs to ask in order to move their organization forward. Authors include case studies to illustrate their points.