Healthcare Employee - Federal Exclusion Data
What the Healthcare Employee Exclusion Data Reveals
Healthcare Employee ranks #4 out of 137 provider-type categories by federal-exclusion volume, with 5,192 exclusions recorded in the HHS OIG LEIE, roughly 6.3% of all currently-tracked exclusions. That places Healthcare Employee above the average per-category share of 0.7%, in the higher-volume half of the provider-type landscape.
The most common reason for a Healthcare Employee exclusion is Conviction: Program-Related Crime (3,171 cases, 61% of the category), followed by Conviction: Patient Abuse or Neglect (916). MS, FL, LA account for the largest share of Healthcare Employee exclusions on record.
Common Questions
What is the most common reason for a Healthcare Employee exclusion?
Is Healthcare Employee's exclusion volume above or below average?
Recent Federal Exclusions - Healthcare Employee
| Name | State | Reason | Date |
|---|---|---|---|
| Joe Allen | IL | Conviction: Program-Related Crime | 2026-03-19 |
| Israel Alexander Barraza | SD | Misdemeanor: Healthcare Fraud | 2026-03-19 |
| Jorden Nicole Borders | MN | Conviction: Program-Related Crime | 2026-03-19 |
| Ameshia Michelle Burt | AR | Conviction: Program-Related Crime | 2026-03-19 |
| Denise Marie Cox | OK | Conviction: Program-Related Crime | 2026-03-19 |
| Teresa Lynn D'Unicorn | AK | Conviction: Program-Related Crime | 2026-03-19 |
| Starese Monique Delgado | NV | Conviction: Program-Related Crime | 2026-03-19 |
| Gary Lee Didio | CA | Conviction: Program-Related Crime | 2026-03-19 |
| Shylee Earlette Hagler | AR | Conviction: Program-Related Crime | 2026-03-19 |
| Tiernan Savanna Hoyle | AR | Conviction: Healthcare Fraud | 2026-03-19 |
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.