7 Metrics Every PACE Executive Should Be Tracking (But Often Isn’t)

Data-driven leadership is essential, but many programs lack visibility into the key performance indicators that predict whether a program is thriving or quietly struggling. The problem usually isn’t a lack of data. Most PACE organizations are sitting on plenty of it, scattered across a clinical system, a claims platform, a handful of spreadsheets, and whatever reports each department happens to run on its own. The problem is turning that data into something an executive can act on, in time to matter.

Here are seven metrics worth putting in front of leadership on a regular basis, and why each one deserves more attention than it usually gets.

This measures how efficiently participants move through the intake process. A slow or inconsistent referral-to-enrollment window doesn’t just delay care, it signals friction somewhere in the intake pipeline, whether that’s staffing, documentation, or coordination between departments. Tracked over time, this number tells you where growth is being quietly capped.

These are among the clearest indicators of care quality and effectiveness in a PACE model built around keeping people healthy at home. A rising trend, even a small one, deserves attention long before it shows up in a CMS report.

This reflects both compliance and operational consistency. Interdisciplinary team documentation is often the first thing an auditor looks at, and the last thing anyone has time to track proactively. Programs that only discover a documentation gap during an audit are already too late.

Aggregate utilization numbers hide as much as they reveal. Breaking utilization down by cohort, acuity level, enrollment length, care setting, surfaces the real patterns behind resource allocation and care planning, and often reveals where a program is over- or under-serving a specific group.

How often care plans actually get revisited says a lot about how proactively care is being managed, versus how much of it is running on autopilot. This metric is easy to overlook because it’s rarely a single bad number, it’s a slow drift that only becomes visible when you’re looking at it consistently.

Financial sustainability in a fully capitated model depends on knowing this number cohort by cohort, not just program-wide. A program-wide average can look healthy while masking a subset of participants whose cost of care is quietly eroding margin.

This helps identify gaps in intake and coordination, specifically, where referrals are stalling out before they ever become an enrollment or a clear disqualification. A high open-and-unresolved referral count is often the earliest sign of a capacity or coordination problem.

Why most programs don’t track these consistently

 

It’s not that these metrics aren’t valuable. It’s that pulling them together usually means stitching data across multiple systems, building custom reports by hand, and hoping the numbers are still accurate by the time anyone sees them. For a lot of PACE executives, that means these metrics only get reviewed quarterly, if at all, long after the moment to act on them has passed.

 

This is exactly the gap Collabrios Intelligence was built to close. Rather than requiring a separate data warehouse or a analyst to build custom reports, Collabrios Intelligence turns your program’s operational data into governance-grade analytics automatically, delivered through executive dashboards covering access and referral, enrollment, outcomes, service utilization, and financial performance. The same metrics above aren’t a special report you request once a quarter, they’re part of a living view of the organization, updated continuously from your own governed data environment.

 

For PACE executives, that shift matters more than any single metric on this list. The programs that perform best aren’t necessarily the ones with the most data. They’re the ones who can see what the data is telling them in time to do something about it.