Data catalog

Open Payments — industry payments to physicians

Centers for Medicare & Medicaid Services

Publisher site
spending
entity

In a RepVector build, this dataset shows where money is actually being spent and by whom.

Sample of the actual data
100 rows captured for Boise, Ada County, Idaho on 2026-08-20. Showing the first 8.
RecipientRecipient typeSpecialtyCityPaying manufacturer/GPO
—Covered Recipient Non-Physician PractitionerNursing Service Providers|Registered Nurse|Psychiatric/MentaCHUBBUCKCorium, LLC
—Covered Recipient Non-Physician PractitionerPhysician Assistants & Advanced Practice Nursing Providers|PCHUBBUCKCorium, LLC
—Covered Recipient Non-Physician PractitionerPhysician Assistants & Advanced Practice Nursing Providers|NMERIDIANCorium, LLC
—Covered Recipient Non-Physician PractitionerPhysician Assistants & Advanced Practice Nursing Providers|PEAGLECorium, LLC
—Covered Recipient Non-Physician PractitionerPhysician Assistants & Advanced Practice Nursing Providers|PBOISECorium, LLC
—Covered Recipient Non-Physician PractitionerPhysician Assistants & Advanced Practice Nursing Providers|PMERIDIANCorium, LLC
—Covered Recipient Non-Physician PractitionerPhysician Assistants & Advanced Practice Nursing Providers|NMERIDIANCorium, LLC
—Covered Recipient Non-Physician PractitionerPhysician Assistants & Advanced Practice Nursing Providers|NCOEUR D ALENECorium, LLC

What this dataset is

Individual payments and transfers of value from drug and medical device manufacturers and group purchasing organizations to physicians, non-physician practitioners and teaching hospitals — amount, payment type and manufacturer. Shows which clinicians and hospitals in a market receive industry money and how much. It is published by Centers for Medicare & Medicaid Services and can be queried at state level, refreshed annual. Each row is an individual entity — an organisation, site or practitioner — so results can be filtered, routed and turned directly into a call list.

Why it is useful

  • Ranks targets by observed volume rather than by guesswork or list order.
  • Surfaces high-volume accounts that a headcount-only view would rank as average.
  • Provides the evidence a manager expects behind a territory investment ask.

Questions it helps answer

  • Which accounts here already transact at meaningful volume?
  • Where is spend concentrated inside an otherwise flat market?
  • Which targets justify a named-account plan rather than a routine call?

How different verticals use it

RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.

Healthcare & life sciences

Shows where reimbursement dollars actually land, not just where patients are.

Technology & software

Finds agencies and awardees with budget already committed to your category.

Construction & real estate

Tracks funded projects before they become public procurement notices.

Manufacturing & industrial

Identifies buyers with recurring contract spend in your product line.

How RepVector uses it

  1. You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at state runs without you knowing any codes.
  2. The planner selects Open Payments — industry payments to physicians only when your question matches what it actually reports. It is never included to pad a result.
  3. Returned rows are normalised into the shared metric layer, so figures from Centers for Medicare & Medicaid Services line up with every other source in the same dashboard instead of sitting in an isolated table.
  4. Quality checks score coverage and recency. If Centers for Medicare & Medicaid Services suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
  5. The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.

What it does not tell you

  • Reported with a lag and often suppressed at low counts, so recent shifts may not appear yet.
At a glance
How this dataset can be queried and how current it stays.
Publisher
Centers for Medicare & Medicaid Services
Geographic grain
state
Refresh cadence
Annual
Row represents
entity
Topics
open payments
sunshine act
industry payments
physicians
pharmaceutical
medical device
conflicts of interest
manufacturers
financial relationships
Available fields
The columns this dataset returns in a RepVector build.
FieldKeyType
Recipientrecipientstring
Recipient typerecipientTypestring
Specialtyspecialtystring
Citycitystring
Paying manufacturer/GPOmanufacturerstring

How it fits with the rest of the catalog

Spending data is the ranking signal; provider registries supply the identity it attaches to. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to Open Payments — industry payments to physicians:

Browse all datasets

Common questions

What does Open Payments — industry payments to physicians contain?

Individual payments and transfers of value from drug and medical device manufacturers and group purchasing organizations to physicians, non-physician practitioners and teaching hospitals — amount, payment type and manufacturer. Shows which clinicians and hospitals in a market receive industry money and how much. It is published by Centers for Medicare & Medicaid Services at state grain.

How often is it refreshed?

Centers for Medicare & Medicaid Services publishes on a annual cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.

Do I need an account to use it?

No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.

Put Open Payments — industry payments to physicians to work in your market
Describe the market and the customer you want in plain language. RepVector resolves the geography, selects the datasets that actually answer it — including this one when it fits — and builds the dashboard, targets and exports.

Build the list for one county and see whether the names are right.

Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.

Build a target list free

3 free runs — no card required.