There’s an idea in healthcare data science that we can apply deep learning. Basically, in an unsupervised way, just take a big, vast database and say we're going to let the algorithms find the signals. But the risk there is that the signals you're choosing are not going to be consistent over time. That kind of black box approach doesn’t work at all in healthcare.

Angelique Russell, Cogitativo

No application, no system will be a hundred percent compliant and anyone that tries to be will be bankrupt. What you want to do is your best effort to make sure that they are as compliant as humanly possible, which is difficult.

Mitch Parker, IU Health

Castell has built a set of reporting tools that not only give people a broad view of how they're performing but also help them very quickly focus in on the things that need their attention. I think these tools will add value to someone at the most senior level of an organization, because they're very busy and they want to know the 3 or 4 things that they need to be worrying about.

Andrew Sorenson, Castell Health