General Internal Medicine Physicians H-1B Third-Party Placement Rate
Of 3,861 certified H-1B filings for General Internal Medicine Physicians (FY2022–2026), 14.1% record the worker's actual worksite as a client site rather than the sponsoring employer's own location, the DOL disclosure field used for staffing and consulting placements.
What This Measures
DOL requires every Labor Condition Application to state whether the H-1B worker's actual worksite is the petitioning employer's own location or a client's site under a staffing or consulting arrangement. This page reports that field only, it is not a measure of job security, legitimacy, or employer quality. Third-party placement is a normal, lawful business model in IT staffing and consulting, and a low or 0% rate simply means General Internal Medicine Physicians roles are more often filed for the employer's own offices rather than client engagements.
What it can tell you: whether a General Internal Medicine Physicians H-1B offer is more likely to mean working at the sponsoring employer's own office, or being placed at a separate client company's site.
Median Wage: Own Worksite vs. Client Site
Employers With the Most Client-Site General Internal Medicine Physicians Filings
| Employer | Client-Site Filings | Placement Rate |
|---|---|---|
| West Virginia University Medical Corporation | 45 | 100% |
| National Hospitalist Services, PC | 42 | 100% |
| Hartford HealthCare Medical Group, Inc. | 39 | 100% |
Related H-1B Data
⚖️Need H1B legal guidance?
Navigate visa petitions, transfers, and green card pathways with expert immigration attorneys.
Find an AttorneyH1B Visa Jobs Research Team
Computed from US Department of Labor LCA disclosure files (FY2022–2026) for General Internal Medicine Physicians, using DOL's secondary-worksite disclosure field, filtered to certified petitions with annual wages between $30K and $1M. This measures where the LCA states the work is performed, not employer quality, job security, or legitimacy, third-party placement is a normal, lawful business model.