LOCAL GOV'T - Federal Exclusion Data
What the LOCAL GOV'T Exclusion Data Reveals
LOCAL GOV'T ranks #60 out of 137 provider-type categories by federal-exclusion volume, with 19 exclusions recorded in the HHS OIG LEIE, roughly 0.0% of all currently-tracked exclusions. That places LOCAL GOV'T below the average per-category share of 0.7%, in the lower-volume half of the provider-type landscape.
The most common reason for a LOCAL GOV'T exclusion is Conviction: Program-Related Crime (9 cases, 47% of the category), followed by Conviction: Healthcare Fraud (6). NY, CA, MN account for the largest share of LOCAL GOV'T exclusions on record.
Common Questions
What is the most common reason for a LOCAL GOV'T exclusion?
Is LOCAL GOV'T's exclusion volume above or below average?
Recent Federal Exclusions - LOCAL GOV'T
| Name | State | Reason | Date |
|---|---|---|---|
| Scott Thomas Higgins | ID | Conviction: Healthcare Fraud | 2025-03-20 |
| Muna Abdullahi Mohamed | MN | Conviction: Program-Related Crime | 2023-05-18 |
| Sandra Stiner | MN | Conviction: Healthcare Fraud | 2022-09-20 |
| Lawrence Anthony Winston | NV | Conviction: Patient Abuse or Neglect | 2022-08-18 |
| Lawrence Jace Killsback | MT | Conviction: Healthcare Fraud | 2021-10-20 |
| Joseph C Prince | TX | Conviction: Healthcare Fraud | 2021-01-20 |
| Patricia Ann O'Bannan | OR | Conviction: Program-Related Crime | 2020-06-18 |
| Sidney Lee Ward | AR | Conviction: Program-Related Crime | 2019-03-20 |
| Russell James Hall | MO | Conviction: Healthcare Fraud | 2018-06-20 |
| Scott P Wilber | NY | Conviction: Patient Abuse or Neglect | 2018-01-18 |
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.
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