On Our Terms
Empowering the New Health Consumer
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Narrated by:
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Chris Abell
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By:
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Glen Tullman
About this listen
In the United States alone, chronic conditions account for 70 percent of deaths and consume the majority of health-care spending. This trend will only accelerate not because the US health-care system is failing, but rather because it is designed to solve a different problem: to treat acute conditions, not prevent them. The health-care system of the future will need to focus on predicting health issues before they happen, prescribing the right solutions which may not call for health care as we know it today and preventing bad outcomes.
On Our Terms: Empowering the New Health Consumer calls for completely rethinking the current approach to our health care. Our only chance to solve the chronic-condition epidemic we are facing requires us to look to the last place we might imagine: the person who is living with chronic disease on a daily basis. The author claims the mindset must change from outside in to inside out. Better outcomes will depend on what health consumers can learn and understand about their own health patterns, and the lifestyle behaviors and conditions that influence them. The kind of change we need sustainable and scalable across populations starts with serving health consumers on their terms and utilizing technology that is capable of empowering them.
On Our Terms is the prescription for effectively addressing the chronic-condition epidemic. Written for audiences inside and outside the health-care industry, the book informs readers about the three fundamental actions needed to increase consumer satisfaction with the care they receive, improve clinical outcomes and demonstrate we are improving health, and optimize financial results to allow us to pay for health into the future.
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-
Story
Through her global consulting projects, keynote speeches, and work with thousands of leaders, Karen has seen first-hand how a pervasive lack of clarity strangles business performance and erodes employee engagement. Ambiguity is the corporate default state, a condition so prevalent that “tolerance for ambiguity” has become a clichéd job requirement. It doesn’t have to be this way.
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Not for me - dislike narrator's voice +
- By sharing1 on 10-11-19
By: Karen Martin
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Jobs to Be Done
- A Roadmap for Customer-Centered Innovation
- By: Stephen Wunker, David Farber, Jessica Wattman
- Narrated by: Tim Andres Pabon
- Length: 4 hrs and 52 mins
- Unabridged
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Jobs to Be Done gives you a clear-cut framework for thinking about your business, outlines a road map for discovering new markets, new products, and new services, and helps you generate creative opportunities to innovate your way to success.
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YouTube talks are better.
- By BizTech Readings on 12-27-16
By: Stephen Wunker, and others
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The Fourth Industrial Revolution
- By: Klaus Schwab
- Narrated by: Nicholas Guy Smith
- Length: 5 hrs and 32 mins
- Unabridged
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World-renowned economist Klaus Schwab, founder and executive chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolution, which will fundamentally alter how we live and work.
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Friendly reminding : On August 15th, 1971, the dec
- By steve white on 03-24-21
By: Klaus Schwab
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The Outstanding Organization
- Generate Business Results by Eliminating Chaos and Building the Foundation for Everyday Excellence
- By: Karen Martin
- Narrated by: Karen Martin
- Length: 6 hrs and 5 mins
- Unabridged
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After two decades in the trenches of helping companies design and build better, more efficient operations, Karen Martin has pinpointed why performance improvement programs usually fail: Chaos, the sneaky but powerful force that frustrates customers, keeps business leaders awake at night, and saps company morale. In The Outstanding Organization, Karen offers a toolbox for combating chaos by creating the organizational conditions that will allow your improvement efforts to return greater gains.
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Good breadth, shallow depth
- By aochoa19 on 02-09-21
By: Karen Martin
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The Effortless Experience
- Conquering the New Battleground for Customer Loyalty
- By: Matthew Dixon, Nick Toman, Rick DeLisi
- Narrated by: Matthew Dixon, Nick Toman, Rick DeLisi
- Length: 6 hrs and 37 mins
- Unabridged
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In their acclaimed best seller The Challenger Sale, Matthew Dixon and his colleagues at CEB busted many longstanding myths about sales. Now they've turned their research and analysis to a new vital business subject - customer loyalty - with a new book that turns the conventional wisdom on its head. The idea that companies must delight customers by exceeding service expectations is so entrenched that managers rarely even question it. They devote untold time, energy, and resources to trying to dazzle people and inspire their undying loyalty.
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If you are a CXer, you have to read/listen to it
- By Shirley Campbell on 05-26-23
By: Matthew Dixon, and others
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The Future of the Professions
- How Technology Will Transform the Work of Human Experts
- By: Richard Susskind, Daniel Susskind
- Narrated by: John Lee
- Length: 12 hrs and 39 mins
- Unabridged
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This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.
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I Hope It's Not All True
- By John on 05-01-16
By: Richard Susskind, and others
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What to Do When Machines Do Everything
- How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data
- By: Malcolm Frank, Paul Roehrig, Ben Pring
- Narrated by: Eric Jason Martin
- Length: 7 hrs and 28 mins
- Unabridged
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What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.
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Assumes that machine learning will grow very slow
- By Nathan Burnham on 05-06-17
By: Malcolm Frank, and others