Your CDI program is working.
So why can't you explain your CMI?

ClinIntell gives CFOs a precise, population-level measure of how accurately your patients' clinical severity is reflected in your documentation.

You've invested in CDI. The questions haven't gone away.

Query volumes have grown, CDI staff has expanded, and new tools have been deployed. And yet most CFOs are still sitting with the same unanswered questions:

CMI Fluctuation

CMI Fluctuation

Why does our CMI fluctuate in ways we can't fully explain?

Program Efficacy

Program Efficacy

Is our CDI program actually working, or are we just maintaining the status quo?

ROI on Spend

ROI on Spend

If I approve more CDI spend, what am I actually buying?

These aren't questions your CDI team is ignoring. They're questions that chart-level tools structurally cannot answer, because answering them requires a view of your entire inpatient population, not individual charts.

Two women at table reviewing data on a tablet, with charts and laptop on the table.

The gap isn't a CDI execution problem. It's a visibility problem.

Most CDI reporting tells you how much your program queried, how often physicians responded, and what CMI movement followed. What it doesn't tell you is how accurately your patient population's clinical severity is documented in the first place — across every inpatient case and monthly patient mix fluctuations, independent of what CDI has or hasn't touched.

What Your Current Tools Tell You

  • How many queries your CDI team issued
  • Physician query response rates
  • CMI movement attributed to CDI activity
  • How your documented CMI compares to hospitals of similar size, teaching status, and region

What they can't show you

  • Whether your patient population's severity is accurately documented
  • Which conditions have systemic documentation variation across your medical staff
  • How much of your CMI improvement is actually attributable to severity documentation and coding accuracy
  • Whether that movement reflects a genuine change in how your medical staff documents patient complexity

A population-level measurement of your inpatient severity documentation accuracy.

ClinIntell analyzes your inpatient claims data and produces a specific, quantified figure: the gap between your documented and coded CMI and what your patient population's severity actually warrants, in dollars, attributed to specific conditions.

What else that figure shows

  • A defensible baseline
    before committing to more CDI technology, more staff, or more consulting spend.
  • An explanation for CMI variance
    which conditions and documentation patterns are driving performance.
  • A credible case for leadership
    derived from your own claims data, not a vendor estimate or a peer average.
hospital-cmi-gap-analysisMan in glasses analyzing data on dual monitors in a modern office environment.

Commonly asked questions

Doesn't our benchmarking data tell us where we stand?

Benchmarking tells you where you rank against hospitals of similar size, teaching status, and region. That's useful context, but it's not the same as knowing whether your CMI reflects what your patients actually present with clinically.

Your peers' patients aren't your patients. A CMI that looks competitive against a peer average can still be significantly below what your own population's complexity warrants, and benchmarking has no mechanism for showing you that gap, or what it’s costing you.

We just invested in CDI technology. Are you saying it isn't working?

Not at all. Your CDI program is doing what it was designed to do. ClinIntell tells it where to focus.

Chart-level tools prioritize based on what's in front of them. ClinIntell looks across your entire inpatient population to identify which conditions have the largest documentation accuracy gaps and where the highest-value opportunity actually sits.

Trusted by hospitals and health systems across the country

The health systems that get the most out of ClinIntell are the ones where clinical and operational leadership engage directly with what the data shows. That investment is what turns a gap figure into sustained performance improvement.

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01. Population-level insight

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02. Clinical alignment on specific conditions

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03. More accurate documentation

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04. CMI reflects true patient complexity

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05. Improved reimbursement

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06. Resources back into the organization

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Accurately identifying and documenting patient conditions has improved the quality of care we provide and empowered our physicians with data from our own population to focus on what matters most for each patient. The result: roughly $7.6M in reimbursement since November 2023, lower readmissions and length of stay, and meaningful gains in our quality scores, making ClinIntell a crucial part of our strategy for clinical excellence.


VP of Finance
Large AMC at West Virginia

Your patients' clinical complexity is already in your data. The question is whether your documentation reflects it.

Book a call — we'll show you the top 5 conditions affecting your facility's documentation accuracy and what it’s costing you.

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