CMS Data · Equipment spending

Where does medical-equipment spending go off the rails?

Medical equipment, wheelchairs, oxygen, braces, and supplies, is a long-running hotspot for waste and fraud. The spending is recorded two ways: by the company that bills for the equipment, and by the doctor who ordered it. On its own, each view hides the loop that matters. Side by side, they trace the equipment from the doctor who ordered it to the company that billed it, finally making the outliers stand out, the same orderer feeding the same supplier at suspicious volume.

Spending outliersBy supplierBy ordererAnswer in seconds
Oshri Cohen, CMS healthcare data made useful
Oshri CohenDigital products delivered
The problem

Orderer and supplier sit on opposite sides.

Spending on medical equipment is recorded from two angles. One side ties the use and payments to the doctor who ordered the equipment; the other ties the same spending to the company that supplied and billed it. Read alone, each side answers only half the question, a busy doctor or a high-volume supplier looks normal until you see who they're doing business with. The relationship that exposes a problem only shows up when the two are put side by side by type of equipment and by area.

Once both views share one place, the chain becomes readable. You can rank suppliers by how much they bill, rank doctors by how much they generate, and connect the patterns, a single doctor driving outsized billing to a single supplier, a kind of equipment whose payments spike well above normal. A pile of line items turns into a map of where the dollars pile up and where the pile-up looks wrong.

What it answers

Questions you can finally ask.

Each is a question you simply ask and get an answer to, not a three-week analysis project.

Which suppliers bill the most per patient?

Rank suppliers by what they bill against the patients they serve, surfacing the ones whose intensity sits far above their peers.

Which doctors order outsized volume?

Rank ordering doctors by the equipment and payments they drive, exposing ordering patterns that warrant a second look.

Where do orderers and suppliers cluster suspiciously?

Connect heavy orderers to the suppliers they feed to find tight loops that account for an outlier share of spending.

Which kinds of equipment drive the spend?

Break payments down by type to see whether oxygen, mobility, or supplies dominate an area's bill and where it's growing.

How does spending vary by area?

Map use and payments by area to find places billing far more equipment per patient than comparable ones.

Who stands far apart and is worth a review?

Flag the suppliers and doctors whose charges, payments, or per-patient volume sit in the extreme far end against everyone else.

What goes into it

What the answer pulls together.

Spending by the doctor who ordered it

The use, charges, and payments tied to the doctor who ordered the equipment, broken out by the kind of equipment.

Spending by the company that billed it

The use, charges, and payments tied to the supplier that furnished and billed the equipment, the other end of the deal.

Type and area

The kind of equipment and the location, which line the two views up so orderer and supplier patterns can be compared on common ground.

Equipment fraud hides in the seam between who ordered it and who billed it. Both ends are recorded, the seam only closes when they sit in the same place.

Oshri Cohen · On CMS data
Common questions

What people ask about this.

Does standing out automatically mean fraud?

No, and nothing here claims it does. A high-volume supplier or doctor may simply serve a sicker or larger group of patients, which is why the comparison is always against peers handling the same kind of equipment in the same area. What you get is a ranked, defensible list of where the numbers break from the norm, the starting point for a review, not a verdict.

Can you really connect a doctor to a specific supplier?

The two sides record the same spending from the ordering and the supplying angle, so lining them up by type of equipment and area reveals where heavy ordering and heavy billing meet. It surfaces the patterns worth examining; confirming a specific relationship is the investigative step that follows the signal.

How current is the answer?

It stays current on its own. When new information is published, it's already in there, so you're asking against today's picture, not a year-old extract.

Want the outliers
in your equipment spending?

Whether you're a payer, a fraud-and-waste team, or sizing up the market, I can get you the exact equipment-spending answer you care about.