Overview

The Billing Organizations Analyze page is where you study a single HME or infusion supplier in depth — your own company, a competitor, or any billing organization in your market. The page is organized into two tabs. The Patient Population tab shows you who the selected billing organization is serving — how many patients, how those patients break down by payer, and how the picture has shifted across recent quarters. The Order Share tab shows you the physicians sending orders to the selected billing organization, how concentrated that physician base is, and the Medicare FFS medical groups those physicians are most affiliated with.

You will find a billing organization's Analyze page by:

• Clicking on a Billing Organization name on the Home page or the Explore page
• Using the Recent Providers icon to return to a recently viewed Analyze page
• Clicking the Analyze button, which opens the most recently viewed Analyze page

location

There are three ways to navigate to the Billing Organization Analyze page:

• When viewing the Billing Organization Explore page, click on the name of a billing organization in the main table on the page.
• When viewing the Home page, under the Organizations tab, click on the name of a billing organization that is a current favorite listed in the table.
• With the "Recent Providers" dropdown open, click on the name of a listed billing organization.

There are two tabs on the Billing Organization Analyze page: Patient Population and Order Share. Details for each tab are included below.

In this Article

• Patient Population tab
  • Patient Volume
    • Chart View and Table View
  • Payer Mix
    • Chart View and Table View
• Order Share tab
  • Order Share by Physician

Patient Population tab

The Patient Population tab gives you a top-down view of the patients served by the selected billing organization. Two tables anchor the tab. Patient Volume tells you how many patients and how many patient days, across the most recent year and the most recent quarters. Payer Mix tells you how those patients break down by primary payer type.

Patient Volume

The Patient Volume content is shown in a chart or table.

Chart View and Table View

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When you hover over a column in the Patient Volume chart, the metrics for the different patient counts represented in that column are displayed.

Understanding the Metrics

The table shows patient counts for the most recent year of available data and counts for the most recent quarters. Each row includes metrics for a different set of patients tied to the selected billing organization.

Putting the Data to Work

When you sit down to size a territory or evaluate an account, Patient Volume answers the first question that matters: how many patients does this billing organization actually touch, and is that count growing or shrinking? A billing organization with a flat patient count over four quarters is a different conversation than one trending up 20% — both are worth your time, but for different reasons. The Annual Patient Count column gives you the trailing-year baseline; the quarterly columns tell you whether the trend is your friend.

A steady patient count combined with a strong Medicare FFS share usually points to a stable, contract-driven account. A volatile patient count usually points to a referral-driven account where physician relationships are the leverage point.

Payer Mix

The Payer Mix content is shown in both a table and a chart view.

Chart View and Table View

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On
When you hover over a sector in the Payer Mix chart, the metrics for the chosen sector is shown and the remaining sectors are lightened.

Understanding the Metrics

The Payer Mix table shows the percentage of the selected billing organization's patient population covered by each primary payer type, across the most recent year and the most recent quarters.

Payer percentages reflect Trella's full multi-payer claims dataset. The percentages will sum to roughly 100% across the five payer categories for any given period.

Putting the Data to Work

Payer Mix tells you which payers actually drive the selected billing organization's revenue, which shapes how you approach the account. A billing organization with a heavy commercial mix is contracting-conversation territory — pricing, payer relationships, and authorization workflows matter most. A billing organization with a heavy Medicare FFS or Medicare Advantage mix turns the conversation toward referrer relationships, code set strategy, and claim economics. Watch for shifts across quarters: a moving payer mix often signals a strategic move at the account, not a data anomaly.

Order Share tab

The Order Share tab tells you where the selected billing organization's order volume actually comes from — physician by physician. Each row in the table is one physician sending orders to the selected billing organization, with rank, share, claim counts, distinct patient counts by payer, and the Medicare FFS medical group that physician is most affiliated with.

Order Share by Physician table

When you click on the Order Share tab, the following table is displayed.

Click on the above image to enlarge it.

Filters

There are two filters available for the Order Share by Physician table that allow you to limit what is shown in the table. They are visible above the table on the left side.

Filter Name	Image
Code Set Use the Code Set dropdown to choose which code sets you want represented in the table. Click on the check box to the left of any code sets you want to use for metrics in the table Details You can select one or more code sets at a time If no check boxes are checked, all code sets will be displayed. What you will see in this dropdown depends on which code sets your company has contracted to see. Also, your account administrator can set up different code sets for each user.
Physicians The Physician dropdown filter allows you to choose any number of physicians to be displayed in the table. Click on the check box to the left of any physicians of interest for whom you want to evaluate metrics in the table Details You can select one or more physicians at a time If no check boxes are checked, all physicians will be displayed.

Understanding the Metrics

The Order Share by Physician table is one row per physician, sorted by contribution to the selected billing organization's order volume. The columns walk from physician identity through share, claim and patient counts by payer, the most-affiliated Medicare FFS medical group, and per-quarter detail.

Provider address data (County, ZIP Code, City) reflects the physician's primary practice address as recorded in NPPES. NPPES updates flow into Trella on a quarterly cadence, so a recently relocated physician may show a stale location until the next update. 

For more on the NPPES, see Using the NPPES NPI Database Search.

Putting the Data to Work

Order Share by Physician is the targeting layer for HME and infusion sales. Three patterns to look for: concentration, affiliation, and direction.

Concentration — if the top three or four physicians account for 40%+ of the selected billing organization's orders, those physicians are the account. Win them or you do not have the account.

Affiliation — the Medicare FFS Medical Group (Highest Percentage of Claims) column tells you which medical group each physician is most embedded in. When the medical group lines up with the selected billing organization's name, that physician is almost certainly billing through the organization itself rather than ordering across to it. When the medical group is a different practice, the physician is an ordering relationship — and a competitor's most likely target.

Direction — watch the quarterly columns. A physician trending up across the four quarters is a relationship strengthening. A physician trending down is a relationship cooling, often before the contract data shows it.

Common questions

Three or four questions tend to come up the first time a user works through this page. The answers all come back to one idea: HME and Infusion data is built from claims that are sometimes incomplete, and Trella fills the gaps with careful inference rather than leaving them blank. Here's what's worth knowing.

Why are these counts described as "estimated"?

Because not every claim arrives with all of its identifying fields filled in. A meaningful share of HME and Infusion claims reach Trella missing the referring physician's NPI, the billing organization's NPI, or both — usually because the source that supplied the claim is required to strip those fields before sharing. Rather than discard the claim, Trella's data science team applies a careful imputation process to fill in the most likely missing values. The resulting counts are designed to be directionally correct — close enough to drive real targeting and account decisions — without claiming to be exact.

When you see "estimated" in a column header anywhere on this page, this is what it refers to.

If a physician appears in the Order Share by Physician table, did they actually prescribe for our organization?

Probably yes — and worth treating as an affiliation rather than a guarantee. In Marketscape Insights, an order is attributed to a physician when the physician's NPI appears on the claim in any role (referring, rendering, billing, or service-line) or when Trella's attribution logic identifies the most likely referring physician based on the patient's broader claim history. This means a physician in the table is consistently associated with the patient and the order, but the relationship is best read as an affiliation with the listed billing organization for the listed code set — one that often does, but may not always, mean the physician personally wrote the order.

This is why the column is named % of Orders from this Physician rather than % of Prescriptions Written by this Physician. The language is deliberate.

Why don't the patient counts on this page line up with what I see for the same physician elsewhere?

Two reasons, both important.

First, the patient counts on this page are scoped to the selected billing organization and the selected code set. The same physician's patient count on their own Analyze page covers all of that physician's claims, across every code set and every organization they touch. Those are different patient populations by design — the page-level count is a subset, not a discrepancy.

Second, Payer Mix percentages and patient counts answer slightly different questions. Payer Mix tells you the composition of all of a physician's claims; patient counts tell you which patients fall into the specific code set for this organization. The two views will not reconcile to the same totals, and that's expected.

Where does the underlying data come from?

Trella sources HME and Infusion claims from several places. Medicare Fee-for-Service claims come directly from CMS and arrive with the most complete set of data elements. Medicare Advantage, Medicaid, Commercial, and the various Other payer categories come from a combination of payers, clearinghouses, and additional sources — these tend to be the records most likely to arrive with stripped or missing fields, and most likely to need the imputation work described above.

For more on how provider identity fields work in claims data, see Using the NPPES NPI Database Search.