A Hospital in the Cloud Bringing Health Care Anywhere in the World | Mohamed Aburawi | TED

This is a picture from the Libyan-Tunisian borders.

These are patients who couldn't find care within their own country.

These ambulance cars carried my father,

my grandma, before she passed away.

And for me, this is emblematic of the challenge we're currently facing.

We see a significant number of patients seeking care beyond their borders,

and they should get care within their community.

Currently, it's very difficult to do that just by training more doctors

and building more medical schools or hospitals,

because we will never be able to reach everyone everywhere.

But if there was an AI doctor that can be with them

and have the answers whenever they need them

and where they need them,

and having those answers being contextualized

for that specific patient in that village,

we would not see such dire consequences

of years of underinvestment in health.

I'm Mohamed Aburawi,

a surgeon,

and I have the privilege of leading our team at Speetar,

a digital health platform that connects patients in remote communities

across the Middle East and Africa,

to physicians that understand their context, language

and are able to help them best.

It's basically a hospital in the cloud.

This folder is how health records are kept in Libya.

This file can hold so much in terms of documentation.

And even then,

it's very rare that you'll find a patient that will come to you

with a file that has everything from their past history

that they've kept perfectly neat together

for you to just to kind of go through,

As opposed to when I was working, for example,

in one of the leading institutions in the US,

I can just ask for patient's name, date of birth, log in,

get every single procedure that was performed in the past 15 years.

Because of the lack of digitization in these areas

where we have ongoing volatility,

a patient may be in one village today,

tomorrow you will have conflict and they're in another one.

And people don't really leave or migrate

with their files in their backpacks like, oh, my health records.

So you'll lose that.

And you'll lose every single allergy procedure, medical problem,

medication that they’ve had.

And you’re constantly building that like, record from scratch.

So essentially what we do is help patients capture their medical histories

in a digital format.

And then we make sure that that record is available

at their fingertips, in their phones,

but also available for the doctors.

And we continue to build on that record

to make sure that patients get the best care possible

whenever they need it.

And that's kind of the capturing side of things,

the capturing the data.

And from there, we start to work on cleaning that data up

and making sure it's consistent.

And it could be fed into models

that could later on start to kind of give these predictive analytics.

But what we see with AI or this data economy in general

is unfortunately a similar trend

we've seen in the past with colonial powers,

where now data is the new oil.

There is a movement to capture as much data as possible.

And for this data to be fed into the AI models

that are currently being developed.

And it’s being fed the data that exists

in mostly the Western world where it's readily accessible,

where you have electronic medical records.

But when you look at certain villages in Libya

or in other countries which are suffering now,

going through conflict

or have been historically kind of marginalized and underserved,

there is not that attention to collecting data.

We are not including the full spectrum of humanity.

As we continue to build AI,

we need to involve other countries in that data collection process,

and not just assume that we can build a technology in the West

and just parachute in.

And because it's a medical AI, it will work perfectly there.

It will not work.

I hope it's a future where patients do not have to leave their countries

or wait for months,

sometimes even years, to get the proper care that they need.

The writer William Gibson once said,

“The future is already here --

it’s just not evenly distributed.”

AI has the power to really make sure

that quality of care is evenly distributed

to everyone, everywhere.