Your patients are more complex than their records show.

ClinIntell gives you a condition-by-condition view of documentation variation across your own patients. When providers engage with that data, queries go down, the medical record gets more accurate, and reimbursement reflects the clinical complexity you're already managing.

Accurate documentation isn't just an institutional concern.

Two healthcare professionals, one in blue scrubs and one in white coat, looking at a laptop screen.

When the record reflects the true complexity of a patient, the next provider who picks them up sees what you saw.

Risk-adjusted outcomes, the ones your performance gets measured against, reflect the complexity you were actually managing rather than a flatter version of it.

And when the hospital is reimbursed for the patients it's actually caring for, that shows up in the staffing, the technology, and the conditions you work in every day.

This isn't another CDI program. It's a different conversation, grounded in your own patient data, about where documentation standards vary across a medical staff and what to do about it.

The variation has been invisible, and that's why nothing has changed

The way the same clinical condition gets documented varies across a medical staff. Different thresholds, different language, different levels of specificity. That's a clinical standards problem, not an individual one. It can only be seen from a vantage point that takes in the whole inpatient population at once. No single chart shows it, and no provider working from their own cases has that view.

CDI catches individual gaps after the fact and sends a query, but a query addresses one chart. It doesn't resolve the underlying variation in clinical standards across the staff, which is why the most commonly queried conditions 10 years ago are still the same today.

What chart-level tools show you

  • A gap on a specific chart
  • Which of your charts were queried
  • Whether you responded to a query
  • That a query was answered and the chart closed

What they can't show you

  • The difference between the expected and actual coded rate for a condition across your patients over the past year
  • Which of the 350+ conditions have the largest variation in your specific population of patients
  • For each of the 350+ conditions, how your documentation gap compares to other physicians in the same specialty at your particular hospital
  • Insight on which conditions you can document more consistently in order to avoid queries in the future

See documentation variation in your own patient population, condition by condition

ClinIntell analyzes your hospital's inpatient claims data and shows where documentation for the same clinical conditions varies across the medical staff. Not a peer benchmark against other hospitals. Not a chart review. A view of how the conditions you treat are being documented across your own patient population, measured against clinically expected rates.

What that gives you:

  • A clinical conversation grounded in your own data, not an administrative initiative.
  • A path to fewer queries on the conditions where variation gets resolved.

  • A medical record that more accurately reflects what's already true about your patients, for the next provider who picks up the chart.
  • A hospital reimbursed for the clinical complexity it's actually managing, with the downstream effects that follow.
Dashboard showing documentation variation for conditions with percent gaps for four diseases in a patient population.Female doctor showing a clipboard to a smiling older male patient in a consultation.

Here's what using ClinIntell actually looks like as a provider.

Learn on your own timeprogress-arrow

Learn on your own time

Short training modules focused on clinical thresholds — the kind of distinctions that drive documentation variation across a staff.
Apply at the point of documentationprogress-arrow

Apply at the point of
documentation

Use those thresholds and guidance directly in your documentation for the patients you see — no separate workflow, no extra queries layered on top.
Review monthly performance

Review monthly
performance

See your data condition by condition: where your documentation habits are improving, and the conditions that still need attention.

Commonly asked questions

What will I be asked to do, and will it mean more work?

You’re being asked to: Look at documentation data for your own patient population, presented in clinical terms. Get aligned on clinical thresholds for the conditions where documentation varies most across the medical staff — on your own time, through ClinIntell's mobile app. Apply those thresholds going forward in your documentation.

That's the full ask. No new query workflow, no change to how you practice clinically.

The work goes down over time, not up. Queries on a condition exist because the underlying documentation variation hasn't been resolved. When providers align on the clinical thresholds and apply them, queries on those conditions drop.

How is this different from CDI?

CDI works one chart at a time. A case closes, a reviewer flags a gap, a query goes out, the chart gets updated. The next case starts from the same place. ClinIntell sits one level up. It shows where documentation for the same condition varies across the medical staff so the variation can be resolved at the source, not managed retrospectively case by case.

For providers, that means the conversation is clinical, not transactional. It's about diagnostic thresholds and how the conditions you treat are being documented across all clinicians — not about a specific chart, a specific DRG, or a specific query response. You see the data for your own patients, and the changes you make show up downstream as fewer queries and a record that more accurately reflects the patients you're managing.

Trusted by providers at hospitals and health systems across the country

The providers who get the most out of ClinIntell are the ones who give the upfront alignment work the time it needs. That means looking at the data for their own patients, getting clear on the clinical thresholds for the conditions where documentation varies most, and applying them going forward. That's what turns population-level data into a record that reflects the patients you're actually managing, and a CMI that reflects what your hospital is actually treating

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01. Population-level insight

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02. Clinical conversation with providers

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03. Documentation aligned to standardized clinical criteria

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04. Record reflects true patient complexity

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05. Reduced query volume over time

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06. Resources back into clinical operations

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When providers see their own gaps, they engage differently than with a generic query. That behavioral change drives durable improvement in CMI and LOS accuracy.

Chief Medical Officer
Large AMC in West Virginia
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ClinIntell has given us insight on drivers of CMI and Quality, directing our focus to key diagnoses and helping us address opportunities at a
group and individual level.

Albert Soriano, MD, FACP
Sentara Health
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Very concise and high yield. There will be immediate impact to my personal documentation.

Hospitalist
Mid-size Hospital in Tennessee

Years of queries haven't closed the gap. There's a reason, and it's finally visible.

Book a call — see the top 5 conditions with the largest documentation variation across your patient population.

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