And then we’re seeing a number of opportunities across a pretty large installed base for NIA Magellan where, maybe we can bring in several additional capabilities or bring their capabilities into our footprint. And I think that last example does a pretty good job of answering the question you’re asking about NIA, which is rebuilding the pipeline a lot through cross-sell, frankly. And then related to that, in the second category I mentioned of net new logos, when we respond to an RFP, we’re going to be bundling in the imaging and physical medicine and genetics and things like that. And so, I think I would say just as a holistic comment on your last question, I feel like the pipeline is rebuilt at this point, and we’re kind of off and running with the strategy that we had set out a year ago.
Jeff Garro : Great to hear. A follow-up for me on the new business side to ask specifically about the Centene cardiology expansion. Interesting to see the cadence given you have a longer history on the Medicaid and exchange line of businesses, and it was just earlier this year that you expanded into MA with Centene in oncology. So, I was hoping you could discuss what prompted the rapid adoption of your solution in MA for Centene and the potential for adding cardiology across multiple lines of business.
Seth Blackley: Yes. So, look, I think it’s similar to the last question, interestingly, which is most partners that we work with would like to work with fewer vendors and fewer strategic partners on the specialty side, right? So, they might have five or six they work with today. They’d love to consolidate that down, and I think what you’re seeing with a really good key partner in Centene is them starting to do that. And it’s good for them. It’s really good for the patient, right, in the sense that, hey, we can start to integrate across these different specialties. Nobody wants to have one of their images and the request for an image reviewed in isolation. They want to be understood as, hey, I’m a human with a diagnosis of cancer.
What’s the right course of treatment for me and how does the image play into that, right, in that example. And so, I think what you’re seeing is the same thing go with cardiology, right? We’re tying together imaging, and imaging is a huge part of cardiology, for instance. So, I think this is the natural course of things. I think it’s better for the partner or clients. It’s also better for the patient. MA, YMA versus others, I think they’re all opportunities. I think a lot of plans right now are focused on Medicare, managing utilization in that line of business for the obvious reasons. But I think, to your point, these should be relevant for all lines of business over time.
Operator: The next question comes from Richard Close of Canaccord Genuity. Please go ahead.
Richard Close: Yes. Thanks for the question and appreciate all the details here today. With respect to performance suite, John, I was wondering maybe if you could talk a little bit – on the ramp, you said you moved from estimated to actual three to five quarters. And I’m just curious, how that’s trended for different cohorts in terms of maybe the bottom end of the three or the top end at the five. And can you like shorten that time frame at all in terms of have a better ramp? Any thoughts there?
John Johnson: That’s a good question, Richard. I’d say two things. The principal sort of determinant of whether it’s three quarters or five quarters is the cadence of data that we’re receiving from our partner. And so, what that can mean, right, is as we are growing with existing partners who are already accustomed to this sort of data transfer with us, accustomed to this sort of scope that we do, it can happen faster. With a brand-new partner, it will typically happen maybe on the longer end. So, that’s the principal arbiter that’ll take us whether it’s three quarters or five quarters. Overall, what we’ve seen with these go-lives regardless of the specific timing is a pretty consistent way that it’s playing out in terms of our general reserving methodology, starting off on the conservative end, which we feel is appropriate, and then releasing some of that conservatism when we have the actual claims data.
