A Quote by Frans van Houten

Thanks to the digital and big data revolution, we can start to do what was previously unthinkable - to improve patient outcomes and lower healthcare costs while delivering personalized care to each individual.
Supported by digital data, new data-driven tools, and payment policies that reward improving the quality and value of care, doctors, hospitals, patients, and entrepreneurs across the nation are demonstrating that smarter, better, more accessible, and more proactive care is the best way to improve quality and control health care costs.
Nations that pay for outcomes and health actually spend a lower percentage of GDP, and they have better outcomes. And so the Affordable Care Act is starting to make that migration, but we've got to keep down that path, and we'll improve outcomes and reduce cost.
One of the biggest reasons for higher medical costs is that somebody else is paying those costs, whether an insurance company or the government. What is the politicians' answer? To have more costs paid by insurance companies and the government. ... [H]aving someone else pay for medical care virtually guarantees that a lot more of it will be used. Nothing would lower costs more than having each patient pay those costs. And nothing is less likely to happen.
We need a new health care architecture that will reduce costs, improve outcomes, and protect vulnerable persons.
The benefits of a modest warming would outweigh the costs - by $8.4 billion a year in 1990 dollars by the year 2060, according to Robert Mendelsohn at Yale University - thanks to longer growing seasons, more wood fiber production, lower construction costs, lower mortality rates, and lower rates of morbidity (illness).
Entrepreneurs and innovators across the country are developing and deploying new data-powered IT tools to help clinicians succeed at delivering better care at lower cost.
The day healthcare can fully embrace AI is the day we have a revolution in terms of cutting costs and improving care.
You should have personalized genomics, personalized physiology, personalized medicine, where each person's different, and each body is an integrated whole.
Big data will never give you big ideas... Big data doesn't facilitate big leaps of the imagination. It will never conjure up a PC revolution or any kind of paradigm shift. And while it might tell you what to aim for, it can't tell you how to get there
We see healthcare shifting from a procedure reimbursement, where in this country doctors are reimbursed for how many procedures they conduct, to a world where people will be reimbursed for the outcomes - did the patient actually get better, and what was the total cost of the cycle of care.
We, of course, need to improve our failing healthcare system, where costs are skyrocketing and 1 in 3 Americans doesn't have the healthcare that they need. Can't afford it, even with their insurance.
The single greatest business opportunity that is now emerging in the global marketplace is the ability to analyze digital log data to trace digital actions and from those traces to develop algorithms that can predict future outcomes with greater accuracy.
Perhaps the way to meet tomorrow's challenges is not to use yesterday's solutions, but to dare to think the previously unthinkable, to speak the previously unspeakable, and to try that which was previously out of the question.
Meeting the unique healthcare needs of the hardworking men and women who call rural Louisiana home can be challenging. It is important for us to recognize the rural healthcare providers, health care organizations and volunteers who work diligently to offer comprehensive, compassionate, patient-centered care to these communities.
Philips is uniquely positioned to help reshape and optimize population health management by leveraging big data and delivering care across the health continuum, from healthy living and prevention to diagnosis, minimally invasive treatment, recovery, and home care.
As a digital technology writer, I have had more than one former student and colleague tell me about digital switchers they have serviced through which calls and data are diverted to government servers or the big data algorithms they've written to be used on our e-mails by intelligence agencies.
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