EMPLOYEE - GRADE UNK - Federal Exclusion Data
What the EMPLOYEE - GRADE UNK Exclusion Data Reveals
EMPLOYEE - GRADE UNK ranks #52 out of 137 provider-type categories by federal-exclusion volume, with 24 exclusions recorded in the HHS OIG LEIE, roughly 0.0% of all currently-tracked exclusions. That places EMPLOYEE - GRADE UNK below the average per-category share of 0.7%, in the lower-volume half of the provider-type landscape.
The most common reason for an EMPLOYEE - GRADE UNK exclusion is Conviction: Healthcare Fraud (20 cases, 83% of the category), followed by Misdemeanor: Healthcare Fraud (3). TX, IL, AL account for the largest share of EMPLOYEE - GRADE UNK exclusions on record.
Common Questions
What is the most common reason for an EMPLOYEE - GRADE UNK exclusion?
Is EMPLOYEE - GRADE UNK's exclusion volume above or below average?
Recent Federal Exclusions - EMPLOYEE - GRADE UNK
| Name | State | Reason | Date |
|---|---|---|---|
| Thomas E Duncan | IL | Conviction: Healthcare Fraud | 2025-08-20 |
| Karisa Waysepappy Kelley | IL | Conviction: Healthcare Fraud | 2025-04-20 |
| Andrew Lee | KY | Conviction: Healthcare Fraud | 2025-04-20 |
| John Jordan Mathes | KS | Conviction: Healthcare Fraud | 2025-04-20 |
| Joanne Marie Hunt | NM | Conviction: Healthcare Fraud | 2025-01-20 |
| Theresa Ann Kelly | TX | Conviction: Program-Related Crime | 2025-01-20 |
| Nina Nguyen | OK | Conviction: Healthcare Fraud | 2024-06-20 |
| Charles Gates | TX | Conviction: Healthcare Fraud | 2024-05-20 |
| Randius Mcglown | TX | Conviction: Healthcare Fraud | 2024-05-20 |
| Andrewe Steven Hansen | OK | Conviction: Healthcare Fraud | 2024-03-20 |
Source: HHS OIG LEIE HHS OIG LEIE
Source: HHS OIG List of Excluded Individuals/Entities (LEIE) HHS OIG List of Excluded Individuals/Entities (LEIE) Federal exclusion data from the HHS Office of Inspector General (LEIE). Provider-type categories are as recorded in the LEIE dataset. This information is for educational purposes only and does not constitute medical or legal advice
Read our methodology - how this data is sourced, computed, and verified.
Every figure on PlainDiscipline is rendered directly from public regulatory source data, no number is typed in by an editor. This page draws directly on public regulatory source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.