The search side answers questions about one thing:
one code, one medical group, one clinician. These tools are for the
questions that need several — two markets read against each other,
how common a condition is against how much of the work gets billed, a
practice against the pattern its peers set. Each one starts from what you
pick and ends in figures that carry their own source and their own
limits, so you can check them and hand them to someone else.
Medicare Part B·CDC survey data where burden is shown·fee‑for‑service only, not all‑payer
You have a market to get up to speed on, and you do not yet know what matters about it.
Atlas
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One market, the nation or one state.
You name a market — a signed set of procedure codes, the nation or one state, a year — and Atlas reads it back to you: how large it is, which medical groups bill it and how much of it the largest five hold together, what changed since the year before, and where the market sits among the fifty‑one state markets. It opens with what it found rather than with a wall of charts, and every figure names its unit, its basis, and its year where you read it. Geography here is the state a group bills FROM, which is not always where its patients live, and the page says so beside the figures it affects.
You want to see how common a condition is in each state alongside how much of the related work is billed there.
Burden overlay
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Burden beside billed volume, by state.
The overlay puts the two measures beside each other by state and leaves the reading to you. You start from a condition and we seed a basket of the codes that bill it; you can then take codes out and add any code you like, and anything you add is marked as your own selection. The two measures stay on separate scales, each labeled where you read it, because they do not share a denominator: burden comes from CDC survey data on adults 18 and over across all payers, and volume comes from Medicare fee‑for‑service claims, mostly 65 and over. You can set a floor on the burden figure and a ceiling on a code’s volume, and we mark the states that clear both and describe them in those two measures’ own words — we put no score, rating, or ranking on that set, and no name.
You want to see which clinicians billed through the same organizations as one clinician or one group, and for how long.
Clinician network
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One clinician or one group, one step out.
You start from one clinician or one medical group, and the network draws the clinicians who billed Medicare through the same organization, in the same specialty, in overlapping years. Each line names the organization and the years, and a line is heavier the more years it covers. It is built from the yearly CMS rosters of who bills through which organization, 2019 on; the specialty is the one a clinician’s Medicare Part B billing carried most that year. Where more than 50 clinicians of one specialty billed through one organization in a year, that organization draws no lines for that year, and the page says so. A shared roster is a billing record, not evidence that two people met: a large system may bill for sites in several states under one organization.
You have several of the same thing, and you need to read them against each other.
Compare
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Two to six objects, one kind.
Compare reads two to six objects of one kind against each other: codes, medical groups, clinicians, hospitals, DRGs (the diagnosis groups Medicare pays hospital stays on), medications, or state markets. You pick the objects and the scope — for codes, a geography and a group‑size band (solo, 2 to 9, 10 to 49, 50 or more clinicians); for groups and clinicians, one or more codes and a single billing state; for state markets, just the states, read across all of Part B — and one button draws the standard set of charts. Every panel keeps its own scale and names its measure where you read it, and nothing is added together across the objects, because a total across six different things is a number you cannot act on. Where CMS suppresses a cell, the panel says so in place rather than showing a blank or a zero.
You want to put a number on a conditional question before you take it into a conversation.
What-if simulator
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Two calculations about one practice, and both are stated as conditions rather than findings. The first shows where its submitted charges — its list prices, not what Medicare pays — sit against groups billing the same code in the same setting, in its state and nationally: a commercial pricing question, since Medicare pays its fee schedule whatever the charge says. The second takes a service some practices billing one of its codes also bill, and applies the middle half of their pattern to this practice’s own volume at the published Medicare payment rate: if that pattern held here, this is about what it would come to. The reason it might not hold is printed beside it, because a practice may simply not do that work, and the claims record cannot tell that apart from any other reason.
A code, a medical group, and a clinician
each have their own page on the search side, and the deeper reading there
— how the work is billed, who else bills it, where a group or a
clinician stands — is a tab on that page rather than a tool you
launch from here. That is the division: one object in depth on the search
side, objects read against each other here.
Search a code.
What a subscription includes, and what
it does not, is on the Platform page.
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