Preparing for Global Aging

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We're not really preparing as a world, or as a country for global aging. We don't have a health care system that's ready, to sort of deal with the fact that most of the people in the planet are going to be over the age of the 60 for the first time in human history. We're basically doing health care like we did in the 1700's.

And we're now at a point technologically and demographically giving global aging where business as usual for health care, this kind of reactive medicine, wait till you're sick, go rush to the hospital, have experts put you back together again with these amazing technologies, we can't afford that.

We can't afford it economically, and it's not available to enough people on the planet. Intel, by virtue of the fact that microprocessors are so much in the fabric of our everyday lives now, is in health care, right? We're in medical equipment, we're in PC's and smart phones that people are using to manage their own health awareness, we're in the tablets that doctors and nurses are carrying around.

But, we're also in health care in another way. 10 years ago we started studying the needs of seniors, and we started looking at what are the ways in which you get qutis computing technologies if personal health is overturned could help prevent disease in the first place, so you never go to their hospital.

Do earlier detection so you can intervene before it becomes painful and expensive. How do you help families be members be a care givers and part of their own care teams, and how you help patients themselves be more polarative using this technology? We've studied now a 1000 elderly households in 20 countries.

So, we go where life goes for these people, as we do these video documentaries and life documentaries about their healthcare experiences. Then we've come back from that and we've generated over 150, 200 prototypes. How to help with Alzheimer's, how to keep people from being depressed.

With the ability and the ambiguity as microprocessor was in computing was coming down in size and in cost and just everywhere, we can and start to capture not only biological data more frequently but behavior data. What is the difference between when you wake up in the morning and you're walking from your bed to your kitchen is there change in the velocity of your work, or the way you're working shows that your senior, or anybody will be coming more risk for falls.

Nothing answers helps us think that, Oh my gosh, there's all these cues that are happening to us, and there's little tiny moments of interaction that are telling and forecasting to us that we're going to have a problem, we just don't know how to read those cues, but smart software and smart sensors can give us cues.

If you look at falls and fall-related injuries. In the US, they cost about $50 - 80 billion a year. The vast majority of those falls are seniors at home, not in the hospitals. And this leads to the inhabitable hip structure for many of those seniors leads to deaths many of the seniors when thy're studying it's, they've survived cancer, and then it's like one fall in their house just leads to this cascade, and they end up dying from a fall.

So, I got curious about this, and I said why can't we actually capture some actual data about what's happening to an elderly persons body and the changes in which walk and so forth every period of time. Let's understand those minute changes, and see if we can capture them, and see if we can prevent the vast majority of falls.

So, we're taking about 500 house holds in Portland Oregon where I live and Dublin Ireland. We have this wearable technology called schema, and it can go into your sock, it can go empty your pockets, you can see on here if I shake them, and if I had, was wearing them right now, you'd get the right foot and the left foot, and we're tracking a range of things from the velocity, the heal-toe strike we can pick up with us what's called your stance time, or even your swing time.

How much are your arms swinging as you walk? We all know which of those minute ways of moving in the environment are going to be the most telling, that's showing that you have a problem, but this just becomes a platform helps us capture that data, that thumb print for you. Yours is different than mine, but what's important is to know if your thumbprint, your partial slay changes, then it's like, ha, your becoming more imbalanced, right? These are things that now with very cheap sensors, we can start to pick up in ways that we've never done.

So, we collected this data in 500 households. Do we know definitively yet that we can prevent 75 to 80% of falls remember happening in the first place, now I can't prove it to you, though I think that's where we're going to be in a few years, absolutely.