Industries · Medical & travel-nurse staffing
Medical & travel-nurse staffing
Target facilities off nurse-title filings, ownership changes, and new-provider enumerations in your regions.
The moment it happens, you hear about it — dated and citable.
Medical & travel-nurse staffing
LiveEmployers filing for nurse titles, Sun Belt
Live signals · 10 Parses · updated daily
Prebuilt Parses
12 tight-signal Parses for medical & travel-nurse staffing
The moment a buyer in your market makes a move — a new site turns on, a spend jumps, a record changes — you hear about it. Each Parse cross-references several official records at once, so you get the needle, not the haystack. Open the chevron to see how it works in plain language, then open it in the builder to edit territory, thresholds, or cadence.
Understaffed hospitals inside a designated shortage area
Hospitals whose FTE-per-bed staffing ratio fell year-over-year on their Medicare cost report (HCRIS Worksheet S-3) AND whose county/city is a designated Health Professional Shortage Area (HRSA HPSA). The two signals are crossed server-side in one pass (the HPSA designation is joined onto each hospital by geography), so it's the exact 'measured staffing drop inside a shortage area' set — the tightest, most defensible target list for locum / travel-nurse / physician-staffing firms and hospital workforce vendors.
›How this Parse works
Hospitals whose FTE-per-bed staffing ratio fell year-over-year on their Medicare cost report (HCRIS Worksheet S-3) AND whose county/city is a designated Health Professional Shortage Area (HRSA HPSA). The two signals are crossed server-side in one pass (the HPSA designation is joined onto each hospital by geography), so it's the exact 'measured staffing drop inside a shortage area' set — the tightest, most defensible target list for locum / travel-nurse / physician-staffing firms and hospital workforce vendors.
Understaffed hospitals that are also low-rated
Hospitals whose FTE-per-bed staffing fell year-over-year that also carry a 1-2 star CMS quality rating — understaffing meeting a measurable quality gap.
›How this Parse works
One leg reads a hospital's Medicare cost report (HCRIS Worksheet S-3) for a year-over-year drop in FTE-per-bed — fewer staff for the same beds, an understaffing tell. The other reads a 1-2 star CMS Care Compare rating on that same facility. A staffing drop alone can be a lean year; a low rating alone can have many causes; together they mark a hospital where thin staffing and measurable quality pressure coincide — the clearest, most defensible moment for a clinician-staffing or workforce vendor to open a conversation. A cost-report staffing figure crossed with a quality rating, hospital-for-hospital.
Large hospitals reporting a staffing decline
Hospitals with 100+ beds whose FTE-per-bed staffing ratio fell year-over-year — understaffing at a facility big enough to run a real staffing program.
›How this Parse works
The primary leg reads a year-over-year FTE-per-bed decline on a hospital's HCRIS S-3 cost report; the intersect leg confirms the same facility carries 100 or more beds. A staffing drop at a tiny critical-access site is a small, one-nurse conversation; the same drop at a large hospital is a standing, high-volume staffing need with the budget behind it. Requiring scale filters the understaffing signal down to the accounts a locum or travel-nurse program can actually build around — a cost-report staffing decline crossed with a bed-count roster, on the same CCN.
Large hospitals carrying a low quality rating
Hospitals with 100+ beds carrying a 1-2 star CMS quality rating — a large facility under measurable quality pressure with the budget to act.
›How this Parse works
One leg reads a 1-2 star CMS Care Compare rating; the other confirms the same hospital carries 100 or more beds. A low rating at a tiny facility is a limited opportunity; the same rating at a large hospital is a facility with both a measurable problem and the budget to address it — the accounts where a workforce vendor or clinician-staffing program has the strongest case. Crossing the quality rating with a bed-count roster isolates the big, under-pressure hospitals worth prioritizing, hospital-for-hospital.
Large, low-rated hospitals reporting a staffing decline
Large hospitals reporting a staffing decline AND a 1-2 star rating — understaffing, a quality gap, and the budget to fix it, all on one facility.
›How this Parse works
This is a three-way cross on one hospital. One leg reads a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report; another reads a 1-2 star CMS Care Compare rating; the third confirms 100 or more beds. Any one alone is a partial picture — thin staffing, a quality gap, or mere size. All three on the same facility mark a large hospital where understaffing and measurable quality pressure meet the budget to act — the sharpest clinician-staffing target the data can assemble, three CMS records agreeing on one CCN.
Understaffed hospitals investing in capital equipment
Hospitals whose FTE-per-bed staffing fell year-over-year that also report a movable-equipment capex jump — a facility thinning staff while spending capital.
›How this Parse works
One leg reads a year-over-year FTE-per-bed decline on the hospital's HCRIS S-3 cost report — an understaffing tell; the other reads a movable-equipment capex jump on the same facility. Cutting staff while investing capital is the signature of a hospital consolidating, re-tooling, or shifting its care model — exactly when staffing needs move fast and a workforce vendor has a live conversation. A cost-report staffing figure crossed with a capex signal, hospital-for-hospital.
Understaffed, low-rated hospitals with a fresh capital budget
Hospitals with a staffing decline, a 1-2 star rating, AND a fresh capital budget — understaffing and a quality gap meeting active capital spend.
›How this Parse works
A three-way cross on one hospital: a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report, a 1-2 star CMS Care Compare rating, and a movable-equipment capex jump. Thin staffing and a quality gap say the pressure is real; the capex says the money to respond is already moving. A facility showing all three is mid-transformation — the moment a clinician-staffing program's pitch lands hardest, read across three CMS records on one CCN.
Large understaffed hospitals with a fresh capital budget
Large hospitals with a staffing decline AND a fresh capital budget — a big facility thinning staff while investing capital.
›How this Parse works
A three-way cross on one hospital: a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report, a 100+ bed footprint, and a movable-equipment capex jump. Scale means the staffing program has room to run; the decline means the need is real; the capex means the budget is already in motion. A large facility investing capital while its staffing thins is a scale-plus-need-plus-budget target, read across three CMS records on one CCN.
Large, low-rated hospitals with a fresh capital budget
Large, low-rated hospitals with a fresh capital budget — scale, a quality gap, and active capital spend on one facility.
›How this Parse works
A three-way cross on one hospital: a 100+ bed footprint, a 1-2 star CMS Care Compare rating, and a movable-equipment capex jump. Scale means the budget is real; a low rating means there's a measurable reason to change; the capex means capital is already moving. A large, under-pressure hospital putting money to work is a facility where a workforce, workflow, or consulting seller has scale, motivation, and budget all at once — three CMS records on one CCN.
Large, low-rated, understaffed hospitals investing capital
Large, low-rated, understaffed hospitals investing capital — the sharpest clinician-staffing target the data assembles, four signals on one facility.
›How this Parse works
A four-way cross on one hospital: a year-over-year FTE-per-bed decline (HCRIS S-3), a 1-2 star CMS Care Compare rating, a 100+ bed footprint, and a movable-equipment capex jump. Any one is a partial picture; all four on the same facility mark a large hospital where understaffing, a quality gap, scale, and active capital spend converge — the single sharpest clinician-staffing target the data can assemble, four CMS records agreeing on one CCN.
Understaffed hospitals running a busy emergency department
Understaffed hospitals that also report CMS emergency-department timeliness measures — thin staffing at a facility actively running an ED.
›How this Parse works
One leg reads a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report; the other confirms the same hospital reports CMS emergency-department timeliness measures — it actively runs an ED tracked for throughput. Understaffing bites hardest where patient flow is relentless, and the ED is exactly that environment. Crossing the staffing-decline signal with the timely-care roster isolates the understaffed facilities running a busy emergency department — the sites where per-diem and travel-clinician demand is most acute — hospital-for-hospital across two CMS records.
Understaffed hospitals whose ED throughput is moving
Understaffed hospitals whose emergency-department throughput shifted period-over-period — thin staffing at a facility whose ED flow is visibly moving.
›How this Parse works
The primary leg reads a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report; the intersect leg reads a period-over-period change in a CMS emergency-department throughput measure on the same hospital. A staffing drop tells you the workforce is thinning; a moving ED-throughput number tells you patient flow is actively changing — and a facility showing both is one where the staffing gap is translating into visible operational strain. That convergence is the moment ED and per-diem staffing sellers want to catch, read across a cost-report staffing figure and a CMS throughput delta.
Sample dataset
Real rows from the feed behind this vertical
A live slice of the public-record feed these Parses watch. Rows report counts and statuses as recorded — observational public records, not a consumer report, no FCRA use.
SourceDOL OFLC workforce filings (H-1B / PERM) — the official-record dataset behind this sample, one of the feeds powering Medical & travel-nurse staffing Parses like “Employers filing for nurse titles, Sun Belt”.
| date | employer | job_title | soc | worksite_city | state | visa |
|---|---|---|---|---|---|---|
| 2026-03-01 | THE UNIVERSITY OF TULSA | ASSISTANT PROFESSOR OF COMPUTER SCIENCE | 25-1021.00 | TULSA | OK | H-1B |
| 2026-03-01 | Skidmore, Owings & Merrill LLP | Designer | 17-1011.00 | New York | NY | H-1B |
| 2026-03-01 | Skidmore, Owings & Merrill LLP | Intermediate Designer | 17-1012.00 | San Francisco | CA | H-1B |
| 2026-03-01 | HCL AMERICA INC | Senior Test Manager | 15-1299.09 | Plano | TX | H-1B |
| 2026-03-01 | Saggi Solutions Inc | IT Project Manager | 15-1299.09 | Greenwood Village | CO | H-1B |
| 2026-03-01 | HCL AMERICA INC | Technical Manager | 15-1299.09 | San Antonio | TX | H-1B |
| 2026-03-01 | HCL AMERICA INC | Technical Specialist | 15-1299.08 | Durham | NC | H-1B |
| 2026-03-01 | Expedera Inc | Software Engineer | 15-1252.00 | Santa Clara | CA | — |
| 2026-03-01 | Evalve, Inc. | Senior Industrial Engineer | 17-2112.03 | Menlo Park | CA | — |
| 2026-03-01 | Expedera Inc | Software Engineer | 15-1252.00 | Santa Clara | CA | — |
| 2026-03-01 | Expedera Inc | Software Engineer II | 15-1252.00 | Santa Clara | CA | — |
| 2026-03-01 | Eventbrite, Inc. | FP&A Managers | 11-3031.00 | San Francisco | CA | — |
| 2026-03-01 | Evelyn M. Tai | Hospitality Marketing Manager | 11-2021.00 | Sunrise | FL | — |
| 2026-03-01 | 1stdibs.com, INC. | Senior Manager, Display & Paid Social | 11-2021.00 | New York | NY | — |
| 2026-03-01 | Qualtrics, LLC | Lead Operations Program Manager | 41-9031.00 | Provo | UT | — |
SampleReal nurse-title filing rows — the demand signal behind medical-staffing Parses.
What you get
Benefits
- Nurse-title filings flag facilities and employers building clinical headcount.
- CHOW events open a new-management staffing conversation.
- New-provider enumerations point to sites coming online.
Who it's for
Teams that use this
- Medical and travel-nurse staffing BD
- Clinical sourcing teams
- Account managers
How it helps
From record change to action
- Reach a hiring facility with a documented demand signal.
- Own the ownership-change window for a new staffing agreement.
Time & money saved
What it replaces
One staffing agreement covers the program; each scheduled check costs cents.
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