Vizient results are landing this week. The harder conversation starts right after.

Vizient’s rankings are designed not to surprise you. The methodology is built on your own submitted data — by the time your results land this week, you already know, roughly, where you stand. I spent years on the other side of that process, leading data science and methodology at Vizient, and that was always the point: no black box, no last-minute shock.

But knowing your Vizient standing was never the hard part. The hard part starts the moment you have to explain it — to your board, to your executive team, to physician leadership — in the same conversation where U.S. News, Leapfrog, and CMS Star Ratings all come up too. And those numbers don’t always tell the same story.

“Why don’t our rankings agree?” isn’t a data problem. It’s a translation problem.

Every quality leader I talk to can list the differences between these programs. Vizient looks at inpatient stays. U.S. News extends its mortality window 30 days post-admission. Leapfrog weighs safety process measures. CMS Star Ratings rolls several domains into one composite. Everyone can name this. Almost nobody has been able to quantify it — to stand in front of a board and say, with a straight line from cause to effect: here is exactly why we’re strong here and weak there, and here is what happens to both numbers if we act.

That gap is what we built Tendo Insights to close. 

How it actually works

The model starts from something every health system already has: total discharges. Instead of treating each ranking program as its own silo with its own report, we run every encounter through the methodologies at once — the same patient, evaluated concurrently under the different ranking rules. Then we do that across every encounter in the period and aggregate it up.

That’s what lets us answer the question a board actually asks. Not “what’s our Vizient decile,” but “why is our Vizient decile strong while our US News percentile is weak — and what do we do about it?”

Take a pattern I’ve seen across health systems more than once: strong inpatient mortality performance in Vizient, sitting right alongside a weaker U.S. News specialty score. It looks like a contradiction until you look at the mechanism. Vizient counts mortality inside the hospital stay. U.S. News extends that window 30 days past admission — pulling in outpatient and post-acute deaths Vizient never counts. Same patients. Different clocks. Once you can see that, you’re no longer defending a discrepancy — you’re explaining a measurement design.

From explanation to forecast

Naming the “why” is the first unlock. The second is being able to say what happens next. Because the same engine that reconciles today’s performance has profiled your history, it can project forward: if a specific measure moves by a given amount, we can show the effect on different ranking frameworks holistically — not just the one program a team happens to be watching this quarter. That’s the difference between reacting to four separate scorecards and running one coordinated strategy that improves all of them at once, deliberately, instead of by accident.

What this means for you this week

Your Vizient numbers are either already in hand or about to be. Before your next board meeting, you’ll be asked to connect them to everything else your executive team sees in the news, on hospital comparison sites, and in their own inboxes. You don’t need to walk in with four disconnected explanations. You need one model that shows the “why,” in plain terms, backed by the same rigor Vizient itself is built on — and a forecast that tells your board not just where you’ve been, but where you’re headed.

That’s the conversation we want to help you have. If you’re staring down this week’s results and want to talk through what a reconciled, forecastable view of your own rankings would look like, book time with me directly.