The Healthcare AI Future, From Google’s DeepMind

While much of its promise is still emerging, it’s hard to argue that AI has arrived in the health IT world. As I’ve written in a previous article, AI can already be used to mine EMR data in a sophisticated way, at least if you understand its limitations. It also seems poised to help providers predict the incidence and progress of diseases like congestive heart failure. And of course, there are scores of companies working on other AI-based healthcare projects. It’s all heady stuff.

Given AI’s potential, I was excited – though not surprised – to see that world-spanning Google has a dog in this fight. Google, which acquired British AI firm DeepMind Technologies a few years ago, is working on its own AI-based healthcare solutions. And while there’s no assurance that DeepMind knows things that its competitors don’t, its status as part of the world’s biggest data collector certainly comes with some advantages.

According to the New Scientist, DeepMind has begun working with the Royal Free London NHS Foundation Trust, which oversees three hospitals. DeepMind has announced a five-year agreement with the trust, in which it will give it access to patient data. The Google-owned tech firm is using that data to develop and roll out its healthcare app, which is called Streams.

Streams is designed to help providers kick out alerts about a patient’s condition to the cellphone used by the doctor or nurse working with them, in the form of a news notification. At the outset, Streams will be used to find patients at risk of kidney problems, but over the term of the five-year agreement, the developers are likely to add other functions to the app, such as patient care coordination and detection of blood poisoning.

Streams will deliver its news to iPhones via push notifications, reminders or alerts. At present, given its focus on acute kidney injury, it will focus on processing information from key metrics like blood tests, patient observations and histories, then shoot a notice about any anomalies it finds to a clinician.

This is all part of an ongoing success story for DeepMind, which made quite a splash in 2016. For example, last year its AlphaGo program actually beat the world champion at Go, a 2,500-year-old strategy game invented in China which is still played today. DeepMind also achieved what it terms “the world’s most life-like speech synthesis” by creating raw waveforms. And that’s just a couple of examples of its prowess.

Oh, and did I mention – in an achievement that puts it in the “super-smart kid you love to hate” category – that DeepMind has seen three papers appear in prestigious journal Nature in less than two years? It’s nothing you wouldn’t expect from the brilliant minds at Google, which can afford the world’s biggest talents. But it’s still a bit intimidating.

In any event, if you haven’t heard of the company yet (and I admit I hadn’t) I’m confident you will soon. While the DeepMind team isn’t the only group of geniuses working on AI in healthcare, it can’t help but benefit immensely from being part of Google, which has not only unimaginable data sources but world-beating computing power at hand. If it can be done, they’re going to do it.

About the author

Anne Zieger

Anne Zieger

Anne Zieger is a healthcare journalist who has written about the industry for 30 years. Her work has appeared in all of the leading healthcare industry publications, and she's served as editor in chief of several healthcare B2B sites.