Definition
Medicare Part D Prescriber Data
Medicare Part D Prescriber data is a set of public use files from the Centers for Medicare and Medicaid Services (CMS) reporting the prescriptions and drug costs paid under Medicare Part D for each prescriber, by brand and generic drug name.
2 min readReviewed September 14, 2026
Also known as: Medicare Part D Prescribers, Part D Prescriber PUF, Part D prescriber file, Medicare prescribing data
Key facts
- Published by
- CMS, on data.cms.gov, one calendar year per release
- Built from
- Part D prescription drug event (PDE) records submitted by Part D plans
- Granularity
- Prescriber NPI by brand name and generic name
- First data year
- 2013
- Suppression
- Prescriber and drug rows with fewer than 11 claims are excluded
What is Medicare Part D Prescriber data?
CMS builds the Medicare Part D Prescribers dataset each year from prescription drug event (PDE) records, the claim-like records Part D plans submit for covered prescription fills. Both stand-alone prescription drug plans and Medicare Advantage plans with drug coverage contribute. Prescribers are identified by National Provider Identifier (NPI), name, location and prescriber type.
The data covers Medicare Part D claims only. It does not include prescriptions paid by commercial insurance, Medicaid, other programs or cash, and it does not include drugs administered in a physician office or hospital outpatient department that Medicare Part B pays for.
How the Part D Prescriber data is structured
CMS releases several views built from the same underlying records:
- By Provider and Drug: one row per prescriber and drug, with total claims, 30-day fills, days supply, total drug cost and beneficiary count.
- By Provider: one row per prescriber, with totals and breakdowns such as brand, generic and opioid prescribing.
- By Geography and Drug: totals for each drug nationally and by state.
Why Part D Prescriber data matters
The dataset is one of the few free sources that ties named prescribers to specific drugs. Pharmaceutical commercial teams use it to find physicians and nurse practitioners who prescribe a therapy class, size markets by specialty and state, and measure uptake of competing brands and generics among Medicare patients.
Policy analysts and journalists use it to study opioid prescribing, brand versus generic use and spending on high-cost drugs. Because rows carry an NPI, the data joins directly to National Plan and Provider Enumeration System (NPPES) records and to Medicare Physician and Other Practitioners data.
Limitations of Part D Prescriber data
The files reflect prescribing to Medicare Part D enrollees, who qualify for Medicare mainly through age 65 or disability. Prescribers who mostly treat younger, commercially insured or Medicaid patients, such as pediatricians and obstetricians, look small or absent.
Total drug cost is a gross figure that includes plan, beneficiary and other payments but not manufacturer rebates, so it overstates net spending for many brand drugs. Rows with fewer than 11 claims are excluded, drugs are grouped by name rather than National Drug Code (NDC), and each release describes prescriptions from roughly one to two years earlier.