@pipeworx/leie
Connect: https://gateway.pipeworx.io/leie/mcp · Install: one-click buttons
Tools: 2
Is this healthcare provider barred from federal health programs? Screening against the HHS OIG List of Excluded Individuals/Entities — the check you make before paying, employing or contracting with a provider.
Tools
| Tool | Answers |
|---|---|
check_provider_exclusion | ”Is this provider on the OIG exclusion list?” — candidates with the fields that tell same-named people apart. |
provider_exclusion_coverage | How many exclusions are held, how current the copy is, and why NPI often cannot disambiguate. |
Auth
None. No key, no account.
Data source
HHS Office of Inspector General — List of Excluded Individuals/Entities (LEIE), which OIG publishes as a CSV for loading into your own system:
- https://oig.hhs.gov/exclusions/exclusions-list/
- https://oig.hhs.gov/exclusions/downloadables/UPDATED.csv
US federal public domain. 83,782 exclusions as loaded — 80,355 individuals and 3,427 businesses.
This names real people — read this before using it
A false positive here accuses somebody of healthcare fraud. The data makes that easy to do by accident:
- 690 excluded people share the surname SMITH. 591 share JOHNSON.
- Four different excluded men are called some form of John Smith — born 1949 (California, internal medicine), 1951 (Colorado, counselor), 1960 (New York, plastic surgery) and 1970 (Pennsylvania, general practice).
So check_provider_exclusion never returns a boolean. It returns candidates
with date_of_birth, state, city, specialty and npi, and a
match_confidence describing what was actually matched:
match_confidence | Meaning |
|---|---|
npi_match | The NPI matched. An NPI identifies one provider — this is an identification. |
exact_name_only | The full name matched exactly. Not an identification; several excluded people can share a name. |
strong_name_similarity | Very close but not identical. A lead to check. |
weak_name_similarity | Loosely similar. Most results at this level are different people. |
Pass npi whenever you have it — it is the difference between a lead and an
identification. Only 8,835 of 83,782 exclusions carry one, though, so for
most records date of birth is the practical discriminator.
Currently excluded, not historically
Everyone on this list is currently excluded. The file has a reinstatement column and it is empty on every row, because OIG removes a reinstated party rather than flagging them. The ingest therefore deletes rows absent from each new file — “no longer listed” is how a reinstatement reaches you, and there is no expired state to read.
What this does not cover
State Medicaid exclusion lists, SAM.gov debarment, and licensure actions that
have not led to an OIG exclusion. A clear result here is not a complete
background check, and check_provider_exclusion says so on every no-match
response.
Refreshing
Monthly, when OIG republishes:
node scripts/ingest-leie.mjsRe-runnable: rows upsert on a content hash, and anything absent from the new file is deleted so reinstatements take effect. It refuses to load a file with fewer than 50,000 rows rather than quietly emptying the table.
Tools
- check_provider_exclusion — Is this healthcare provider barred from Medicare, Medicaid and other federal health programs? Screens a person or business name — or an NPI — against the HHS OIG List of Excluded Individuals/Entities,
- provider_exclusion_coverage — What the provider-exclusion data covers and how current it is: how many exclusions are held, the split between individuals and businesses, how many carry an NPI or a date of birth, the oldest and newe
Tools
-
check_provider_exclusion— Is this healthcare provider barred from Medicare, Medicaid and other federal health programs? Screens a person or business name — or an NPI — against the HHS OIG List of Excluded Individuals/Entities, -
provider_exclusion_coverage— What the provider-exclusion data covers and how current it is: how many exclusions are held, the split between individuals and businesses, how many carry an NPI or a date of birth, the oldest and newe