Industry Insights

The First Look at CMS TEAM: What the 6-Month Data Will (And Won't) Tell Us

Six months in, the first internal previews of CMS TEAM data are landing in hospital quality offices. Here’s what the numbers will — and won’t — tell us.

The Physician Signal Team

May 27, 2026

7 min read

A healthcare quality analyst reviewing data on a screen.

Six months in. The first internal previews of CMS TEAM data are starting to land in hospital quality offices.

The numbers won't go public yet. But the conversations they're triggering — at quality committees, at service-line meetings, between department chairs and CFOs — are the first real-world test of whether the Transforming Episode Accountability Model changes anything that matters.

Here's what to expect from the mid-2026 previews, and what the numbers still won't catch.

A quick recap

CMS flipped TEAM on January 1, 2026. About 740 hospitals across selected regions were enrolled — mandatorily — and the model holds them accountable for the entire 30-day surgical episode across five procedure categories, including major joint replacement and CABG.

The clock starts when the patient enters the OR. It stops thirty days later. Everything in between — recovery, post-acute placement, readmissions, complications surfacing at home — counts toward the hospital's score and reimbursement.

January through April was the bedding-in period. May and June are when hospitals start seeing what their numbers actually look like.

What the previews will likely show

Three patterns are predictable from the structure of the model and the variation in how hospitals manage post-acute care.

Wide hospital-to-hospital variation

The biggest swings will be between hospitals that already coordinated post-acute care well and those that didn't. Hospitals with strong SNF partnerships, robust home-health relationships, and tight readmission protocols will look like outliers on the upside. Hospitals that historically discharged and disengaged will see the cost of that gap quantified for the first time.

Expect a 10–15 percentage-point spread between top-quartile and bottom-quartile hospitals on the composite score, at minimum.

Specialty-level patterns inside each hospital

The aggregate hospital number will hide service-line variation that's larger than the hospital-to-hospital variation. A hospital with strong joint-replacement outcomes and weak cardiac surgery outcomes will see the contrast pop in the data — and the cardiac service line will get the internal scrutiny first.

This is where the "blame the case mix" argument starts running into the data. CMS's risk adjustment is imperfect, but it's not nothing. Specialties that consistently underperform their adjusted benchmark will have to explain why.

Post-acute care as the largest swing factor

The single biggest determinant of TEAM performance won't be intraop quality — at least not at first. It'll be what happens after discharge.

Hospitals will discover, quantitatively, that the SNF they've been sending patients to has a 22% readmission rate while the one across town has 11%. They'll discover that one home-health agency catches infections early and another doesn't. The choices that used to feel administrative will become reimbursement-relevant.

What the data won't see

The TEAM composite is a brilliant lagging indicator. It measures the episode. It doesn't measure the room.

The variables that drive outcomes inside the OR — and that determine which surgeons trend up and which trend down over time — are mostly invisible to TEAM's data structure:

Intraop decision-making: TEAM measures the downstream effect, not the choice.

Communication quality: Whether the surgeon called out the count, listened to the scrub tech, ran a real time-out — none of that is in any dataset CMS will see.

Team stability: A surgeon working with a consistent team performs measurably better than one cycling through travelers. TEAM data shows the outcome; not the staffing pattern that drove it.

Behavior on hard days: Average performance is fine to measure with averages. The variance — what a surgeon does when the case turns — is where outcomes are made and lost.

This is the safety-culture gap showing up at the regulatory level. CMS will measure what surgeons produce. It still can't see what the room actually saw.

Where peer observation closes the gap

The data structure CMS is building rewards good 30-day outcomes. The variables that produce those outcomes are observable in real time by exactly one population: the OR team.

That's the part anonymous peer review is for.

When a circulator submits a structured observation about a surgeon's intraop judgment, that's the leading indicator of the TEAM composite. When ten of them agree, that's a pattern. When the pattern shows up across hospitals, that's the predictive signal CMS's 30-day window will eventually confirm.

The hospitals that figure this out first will use peer observation the way they currently use surgical scorecards: as an internal early-warning system that surfaces problems before they show up in the public quality numbers.

What to watch in the next 90 days

Q2 preview reports. Hospitals will see their first formal data. Some will share internally; most won't.

Joint Commission and ACS responses. Expect statements about how the accreditation frameworks complement (or compete with) TEAM. The politics here are not trivial.

Specialty society guidance. Orthopedic and cardiac surgery societies will issue interpretation memos. Read them for what they emphasize and what they avoid.

The first lawsuits. Hospitals being downgraded under TEAM will challenge the risk adjustment. Some of the challenges will be substantive; some will be cover.

The shift

The conventional wisdom was that surgical accountability would arrive through outcomes transparency — public dashboards, risk-adjusted scorecards, comparison websites. That's still happening, slowly.

What TEAM actually does is route accountability through reimbursement instead. The money moves with the data. The data follows the patient through thirty days. And the hospital — not the surgeon, not the SNF, not the patient — owns the result.

That's a more durable mechanism than the dashboard model, because it doesn't depend on patients reading the dashboard. It depends on the CFO reading the receivables.

By the end of 2026, the first wave of strategic responses will be visible. The hospitals that adapt fastest won't just be the ones with the best surgeons. They'll be the ones with the best signal about what their surgeons are actually doing in the room — six months before TEAM can see it.

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Not medical advice. Reviews are professional opinions only.

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