How to Integrate New Technology in Healthcare

Read Transcript

We underestimate just how slow some industries are do not just move, but to adopt new technologies. One of the lessons learnt for us was if you are going to introduce a destructive technology into healthcare, then what you should try to do is to the outcomes numerator health outcomes to non native cost, but don't disrupt the workflow.

If you ask and otherwise under paid physician to do anything different that's not their workflow they are not going to do it. And so what you have to is you just have to fit this into their workflow. So, one of their the biggest [xx] was just how complex that very simple ask is. How do you introduce new technology into a doctors workflow? And I think a patient's life when you think about it, but it doesn't distract and turn things upside down.

A patient who has diabetes needs to manage on a daily basis regardless of who there are. What time of day is you have to manage a glucose, they're medics, there are stress, smoking, sleep, exercising all the things that affect their glucose levels in their body, and you know,life turns to get in the way every now and then.

And so, when you think about the biggest problem in diabetes today is quite simply that the right data is not getting to the right person at the right place at the right point and time. And if you're able to get that personalized feedback and coaching that kind of keeps them where they should be against their doctors regimen, then you can move the needle.

I think the second of the problem is that think about it I see my doctor four times a year in a five minute office of it. What's my doctor going to do when he sees my data? The human eyes are trained to that kind of panto recognition. So, if we can actually have the system that takes that data and interprets it, and provides this note to the physician that says here is what you may want to talk to them about the newer division work long division.

And I think what it does it effectively brings the patient physician relationship closer together. Ties it with a fabric that's constructing the data. There is a whole concept called patient physician discordance. It's like old Charlie Brown teacher Wow, wow, and the doctor says x-patient here is why.

And I think if you can break down that discordance, then you create a motivation that didn't exist before. You create insight so it's not just data now, it's data to information, information to knowledge, knowledge to action, and action to outcomes, and that's what this does. And that's what moves the needle on the outcomes, that's what moves the needle on engagement.

The way we think about analytics is, and this is where big data comes in. In fact, I think in five years the value of the data we're collecting and the information we're going to extract from. It will probably outweigh the value of application itself. We're not going to be talking about digital health in three years, it'll be health.

And the digitally is going to be assumed, the M is going to be assumed, it has to be part of the fabric. I mean there's no way out, we may think diabetes is alone it is $245 billion annually here in United States, and we're lucky if 8% of our population, China is 12, India is 14, Middle East, six of the top ten countries in the world with diabetes incidence are GCC countries.

And they are hovering in the upper 20s, lower 30s, it's ridiculous, and it's costing at the macro economic level. One out of every five healthcare dollars in the United States goes to diabetes and it's complications. It's a macroeconomic problem. So, I think that if we don't have digital M health, health digital health whatever.

Health as I call it in the feature, we've got a different problem to solve..