Temple Grandin Quotes

If you put me in charge of the medical research budget, I would cancel all primary research, I would cancel all new trials, for just one year, and I would spend the money exclusively on making sure that we make the best possible use of the clinical evidence that we already have.

These core principles - helping patients, preventing medical errors, promoting best practices and improving quality - are the reasons that health IT is featured in both the 2012 Republican platform and 2012 Democratic platform.

Research must be central to healthcare if healthcare is to improve.

We need to and must protect privacy. But I think that people will be willing and even eager to share medical information about themselves for the greater good of mankind.

I think it's a very valuable thing for a doctor to learn how to do research, to learn how to approach research, something there isn't time to teach them in medical school. They don't really learn how to approach a problem, and yet diagnosis is a problem; and I think that year spent in research is extremely valuable to them.

We must always remember that all medical interventions have risk, and very little can be asserted with 100 percent certainty.

Nearly every business collects metrics on inventory, sales, and workplace process. Health care has been slow to measure these kinds of outcomes. Increasingly, general medicine, via either managed care or large practice settings, is improving by collecting data through electronic records and refining practice based on what works.

The goal of having more and more information is really to better be able to predict what is your health outcome going to be.

A typical medical practice is like an old-fashioned business which keeps all of its records on paper. It can probably track down any individual transaction if it needs to, but it's basically helpless when it comes to overall measurements of performance. And that's the big problem.

Much of what I do in my job is think about whether relationships we see in data are causal, as opposed to just reflecting correlations. It's exactly these issues which come up in evaluating studies in public health.

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.

With tens of thousands of patients dying every year from preventable medical errors, it is imperative that we embrace available technologies and drastically improve the way medical records are handled and processed.

Research is what it's going to take to cure all these diseases.

Whether it's by helping us search for health-related information, connecting us with doctors through online portals, or enabling us to store and retrieve our medical records online, the Internet is starting to show the promise it has to transform the way people interact with and improve their own health and wellness.

Doctors and patients need as much data as possible to make an informed decision about what treatment is best.

One of the things that made Epic strong when I wrote the original code was that it never occurred to me to do anything other than put the patient at the center. I developed a clinical system at a time when the health care world had pretty much only billing and lab systems available.

The Google algorithm was a significant development. I've had thank-you emails from people whose lives have been saved by information on a medical website or who have found the love of their life on a dating website.

It is my sincere hope that hospitals across Indiana, and America, continue to strive for excellence when it comes to providing medical care. This proposed rule will be harmful to communities who wish to upgrade their medical facilities.

I do not practice clinical medicine and hence do not treat individual patients. My career is in medical science.

As a physician, I understand how important it is to collect data on people so we can understand what's happening with them. I will be in the position to help enable that knowledge.

I have an obligation to use what I know to try to bring real, usable medical science to every doctor and bedside and patient.

Medical Device technology is truly interdisciplinary.

When human judgment and big data intersect there are some funny things that happen.

Many medical students, like most American patients, confuse science and technology. They think that what it means to be a scientific doctor is to bring to bear the maximum amount of technology on any given patient. And this makes them dangerous.

We can't get to the $4 trillion in savings that we need by just cutting the 12 percent of the budget that pays for things like medical research and education funding and food inspectors and the weather service. And we can't just do it by making seniors pay more for Medicare.