What's your organization's CPT code mix?
Not all organizations code the same visit the same way. Across health systems, CPT code mix varies significantly, creating measurable revenue gaps. See where your organization stands and quantify your E/M opportunity.
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Comparison With Peer Organizations
Financial Opportunity in the selected CPT Category
Select a specific facility to compare CPT-code mix with the leading facility.
Revenue Opportunity from coding optimization
$0
Medicare $0
Other payors (est.) $0
Simulating charges with a more optimal coding mix
Table compares actual CPT counts with simulated counts using the leading facility distribution.
| CPT | Payment* | N (actual) | N (coding mix optimized) | $ difference |
|---|---|---|---|---|
| Subtotal (Medicare) | - | - | - | - |
| Subtotal (Other payors) † | - | - | - | - |
| Total | - | |||
* Medicare payments vary by geography, place of service, and billing modifiers. Because this analysis is focused on differences from E/M level selection, we remove those other factors and use unweighted payments. Your actual payments likely differ from the values used in this estimate.
† Estimated value for an organization that sees 40% Medicare patients.
‡ ABSENCE OF 99291 represents encounters where 99291 could have been used but was not. While not all such cases warrant critical care coding, this group serves as a useful comparison denominator. It includes codes 99281–99285, 99221–99223, and 99231–99236. Payment is set as a weighted-average replacement based on this code mix.
‡ ABSENCE OF G2211 represents the pool of encounters for which the longitudinal service code G2211 could have been used but was not. Although it's not appropriate in all these cases, it serves as a useful denominator for comparison. This is calculated as: sum(99241,99242,99243,99244,99245,99211,99212,99213,99214,99215,99201,99202,99203,99204,99205) - sum(G2211), keeping only positive results.
‡ ABSENCE OF G2212 represents the pool of encounters for which the prolonged service code G2212 could have been used but was not. Although it's not appropriate in all these cases, it serves as a useful denominator for comparison. This is calculated as: sum(99215,99205) - sum(G2212)
Provider-level comparison for the selected Organization
Have questions about applying these findings in your organization?
Phrase Health can help you understand this variation in billing, and make adjustments to your coding workflows to improve consistency and reimbursement outcomes.
We can provide deeper insight into how your providers rank against their peers in your health system in a free 30-minute review.
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CASE STUDIES / TESTIMONIALS
Reducing clinical variation and clinician frustration
A process improvement manager at a regional health system identified inappropriate lab orders during a data-driven order set review process. The downstream removal of inpatient bacterial antigen testing saved over $700,000 annually on low-yield testing, while streamlining the order set design.
OUTCOMES
$700K annual savings by reducing bacterial antigen orders 57%
10X efficiency gains in order set review processes
Streamlined workflows by retiring redundant order sets
Cutting non-essential orders and IT time
A regional health system reduced non-essential IV fluid usage by 40% within weeks of a nationwide shortage. With Phrase Health, they implemented targeted interventions 5× faster than traditional analytics methods would allow, bypassing IT bottlenecks despite competing strategic priorities.
"The great thing about Phrase Health is that it makes it very easy to get the data you want. Most other vendors make retrieving any sort of data cumbersome.
Medical director,
Academic health system
ROI
$1M+
saved in lab costs
3,000+ hrs
saved in EHR clicks
10x
operational efficiences
50%
more care gaps closed
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