Mayo Clinic Ventures chair talks data analytics, innovation

Let’s talk about those problems. Which areas do you think are most ripe for innovation, coming from provider-led ventures?

I think all of us are aware of the cost issue we have in the United States with healthcare.

If you look at other industries—the electronics industry being the primary example—when we’ve applied analytics, data and technology, we’ve seen a big increase in functionality and consumer performance. And we’ve seen a big decrease in cost.

We are looking at digital health analytics and data utilization to not only do better for patients in diagnosing and treating disease, but to do so in a way that fundamentally drives down costs.

[The other regards AI.] What we don’t want to do, especially with the promise of AI, is have biases, or products that don’t work across [some] segments of the population. So, we’ve been very intentional and specific about recruiting minority patients so that when we do develop those AI algorithms, they’re broad-spectrum in terms of their ability to help patients.

How difficult is it to find employees in this area of the industry?

There’s [never] enough talent for what you want to do. When you look at why things are successful, the overriding reason is almost always the people.

You can have all the capital, the best ideas, intellectual property and technology, but if you don’t have the right people leading that company, or that project effort, it won’t succeed. Conversely, if you have the right people, often they’ll find the money, they’ll find the technology—or they’ll create it—and they’ll make success.

Hiring good folks remains a challenge. You can find them, but very, very talented people are always in short supply.

Could you shed some light on a few of the companies in your portfolio?

It’s always nice to give some shout-outs to the folks we’ve partnered with.

Medically Home would be one, [with which] we’ve made a big push into how we can provide high-acuity care in a patient’s home. Many of us have had to spend time in the hospital. It’s not a fun place to be.

Another is nference, a data analytics company. It’s worked with us to take all 6 million of our longitudinal electronic medical records and independently, certifiably de-identify those records, aggregate them, put them in our Google Cloud environment and allow those data to be accessed by our researchers to do good things, make new discoveries, advance healthcare, but also open that data up in a very controlled way to external groups who want to develop products and services. The data never leaves Mayo’s cloud—so they’re locked down, they are de-identified, and we monitor what the companies are doing.

But we feel like this is how all of us individually can give back. As many smart people as we have here at Mayo, we still have a small proportion of [them]. So we’ve opened [those data] up through nference to other companies to do product development.

And then the last one I’d mention is a company called Anumana, which is doing remote diagnostics. It’s pulling electrocardiogram waveforms from the heart—they can come from a body-worn device, or from a smartwatch. Humans can’t interpret very subtle changes in those waveforms, but artificial intelligence can. It can often [detect] asymptomatic disease [from them]. People are walking around and they may be progressing toward, let’s say, heart failure. Off their smartwatch and this ECG signal, they can be alerted, and they can go to the physician and be put on a therapy to prevent [disease] progression. So we’re quite excited about that.