HealthLeaders: What kind of customers is this appropriate for? Are we talking about customers who have a large IT staff, who have no IT staff, somewhere in between? Give me a feel for that. It might be analysts, not necessarily IT people per se. Analytics people, data people, quants, or whatever.
Davis: The platform and the mission of our venture together with Intermountain is really to scale the insights that come from the secondary use of data to drive clinical practice improvements. Because if you look across the market broadly, the level of investment that, say, an Intermountain or a Partners Healthcare or UPMC can put behind building out large staffs around analytics is limited, and if you look at the skills out there, even if they had the capital and resources, the skills of people who can actually do this kind of work are extremely limited. It's a very competitive field, so to recruit the kinds of data scientists and informatics folks who can actually do this stuff—and then you put on top of that the fact that most health systems just invested tens of millions or hundreds of millions of dollars in their EMR journey—going in and investing in a big complicated analytics environment, it's just not going to happen. The solution was really designed to democratize healthcare analytics, and bring these insights and learnings to the broader market for those systems that haven't [become] a data-driven organization. A lot of these health systems are flying blind in terms of really being able to understand the nuances of what's going on inside their comorbid populations. This solution is really designed to avoid having to go and invest in a big complex IT project for three or four years before getting value.